2026 4th International Conference on Control and Robot Technology (ICCRT 2026)
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About this event
2026 4th International Conference on Control and Robot Technology (ICCRT 2026) Analysis
Date: August 18–20, 2026
Venue: Tokai University (Shonan Campus), Hiratsuka, Japan
Event Type: Academic and Industry Conference focused on Control Systems, Robotics, Machine Learning, and Emerging Technologies
1️⃣ Who attends (BUYERS / ATTENDEES)
This event attracts a hybrid audience of academic researchers, industry professionals, engineers, scholars, and next-generation researchers. Key buyer profiles include:
- Research scientists and R&D managers in robotics and automation
- Engineering directors and technical leads from manufacturing, AI, and IoT companies
- Academic institutions and universities with robotics/engineering departments
- Government and policy-making bodies funding STEM research
- Startups and innovation labs in machine learning and control systems
- Recruiters targeting technical talent in robotics and AI
2️⃣ Location + Attendee Geographic Origin
Venue: Tokai University, Hiratsuka, Japan
Attendee Origin: Primarily Asia-Pacific (Japan, Singapore, China, South Korea) with international participation from Europe and North America. Strong regional focus due to venue location, but global reach through IEEE indexing and academic collaborations.
3️⃣ Audience Reach
Reach Type: Global, with a strong emphasis on Asia-Pacific. The conference’s inclusion in IEEE Xplore and indexing in Scopus/Compendex ensures international academic visibility. Industry participation is bolstered by partnerships with entities like the Robotics Society of Singapore.
4️⃣ Sample Buyer Company Names + Websites
| Priority | Company | Website | Best Title to Target | Why This is a Good Buyer Fit |
|---|---|---|---|---|
| 1 | Toyota Research Institute | https://www.toyota.com/research/ | Director of Robotics R&D | Leader in automotive robotics and AI; seeks cutting-edge control systems and machine learning innovations. |
| 2 | Siemens Digital Industries | https://new.siemens.com/global/en/companies/digital-industries.html | Head of Industrial Automation | Invests heavily in smart manufacturing and control systems; aligns with conference themes. |
| 3 | NVIDIA Robotics | https://developer.nvidia.com/robotics | AI Research Program Manager | Focuses on AI-driven robotics; ideal for collaborations on machine learning applications. |
| 4 | University of Tokyo, Department of Robotics | https://www.todai.jp/en/ | Professor/Research Lead | Academic hub for robotics research in Japan; seeks partnerships and talent recruitment. |
| 5 | ABB Robotics | https://www.abb.com/robotics | Technical Innovation Manager | Global leader in industrial robotics; interested in control system advancements. |
| 6 | SoftBank Robotics | https://www.softbankrobotics.com/ | Chief Technology Officer | Pioneer in service robotics; targets innovations in AI and human-robot interaction. |
| 7 | MIT CSAIL (Computer Science and AI Lab) | https://www.csail.mit.edu/ | Research Scientist, Robotics | Top-tier research institution; collaborates on frontier robotics and control systems. |
| 8 | Robert Bosch GmbH (Robotics Division) | https://www.bosch.com/ | Head of Autonomous Systems | Expanding into industrial and service robotics; seeks technical partnerships. |
| 9 | Stanford Robotics Lab | https://robotics.stanford.edu/ | Lab Director | Academic leader in robotics research; targets interdisciplinary collaborations. |
| 10 | Fanuc Corporation | https://www.fanuc.com/ | Automation Solutions Manager | Japanese leader in factory automation; interested in control system innovations. |
| 11 | Intel Labs (Robotics & AI) | https://www.intel.com/content/www/us/en/research/intel-labs.html | Senior Research Engineer | Focuses on AI hardware and robotics; aligns with machine learning themes. |
| 12 | King Abdullah University of Science and Technology (KAUST) | https://www.kaust.edu.sa/en.html | Professor of Robotics Engineering | Global research hub; seeks academic and technical collaborations. |
| 13 | John Deere (Autonomous Systems Division) | https://www.deere.com/ | Lead Robotics Engineer | Applies robotics in agriculture; interested in control systems and autonomy. |
| 14 | University of Singapore (Robotics Institute) | https://www.nus.edu.sg/ | Dean of Engineering | Regional academic leader; targets research partnerships and talent. |
| 15 | Honeywell Robotics | https://www.honeywell.com/ | Director of R&D | Focuses on industrial and logistics robotics; aligns with automation themes. |
5️⃣ Job Profiles, Industries & Event Type
Target Job Profiles:
- Research Scientists (Robotics, AI, Control Systems)
- R&D Managers/Directors
- Engineering Leads (Automation, IoT, Machine Learning)
- Academic Professors/Researchers
- Technical Innovation Managers
- Recruitment Specialists (Technical Roles)
- Government R&D Policy Advisors
Industries:
- Robotics & Automation
- Artificial Intelligence & Machine Learning
- Industrial Manufacturing & IoT
- Academic & Research Institutions
- Government & Defense (for autonomous systems)
- Engineering & Technology Services
Event Type: Academic and industry-focused conference with technical sessions, exhibitions, and networking for robotics and control system innovations.
6️⃣ Estimated Attendance
Estimated Footfall: No exact figure provided, but typical for IEEE-affiliated conferences of this scale: 300–500 attendees (academics, industry professionals, and exhibitors). Past editions (e.g., ICCRT 2025 in Singapore) provide a baseline for expectations.
7️⃣ Key Focus Areas & Buyer Engagement
Key Themes:
- Machine Learning in Robotics
- Autonomous Systems & Control Algorithms
- Industrial Automation & Smart Manufacturing
- Human-Robot Interaction
- AI-Driven Control Systems
- Academic-Industry Collaboration
Buyer Engagement Angle: Position as a platform for technical collaboration, talent acquisition, and showcasing innovations. Highlight opportunities for:
- Recruiting top-tier researchers and engineers
- Forming academic-industry partnerships
- Demonstrating cutting-edge robotics solutions
- Accessing pre-publication research and trends
8️⃣ Client-Product Fit Note
Please share your client’s website to refine the buyer list. For example:
- If selling AI/robotics software: Target R&D managers at Toyota, NVIDIA, or Intel.
- If offering academic tools: Focus on universities like MIT or KAUST.
- If recruiting technical talent: Engage with attendees from Siemens, ABB, or Fanuc.
9️⃣ Final Recommendation
This conference is ideal for academic collaborations, technical B2B engagement, and talent acquisition in robotics and control systems. Prioritize buyers from robotics manufacturers, AI research labs, and engineering academia. Quality rating for B2B lead generation: 8.5/10 due to high relevance for technical industries and global academic reach.
Data sheet
2026 4th International Conference on Control and Robot Technology (ICCRT 2026) – Event Attendee & Buyer Profile Analysis
Event date: August 18–20, 2026
Location: Tokai University (Shonan Campus), Hiratsuka, Kanagawa, Japan
Event status: Upcoming
Research date: June 29, 2026
Event Overview
| Event Name | 2026 4th International Conference on Control and Robot Technology (ICCRT 2026) |
| Event Date | August 18–20, 2026 |
| Event Status | Upcoming |
| Venue | Tokai University (Shonan Campus) |
| City | Hiratsuka |
| State / Region | Kanagawa |
| Country | Japan |
| Organizer | ICCRT Organizing Committee; confirmed co-sponsors: Tokai University (Shonan Campus) and Robotics Society of Singapore |
| Official Event Website | iccrt.org |
| Event Type | Academic and industry conference |
| Primary Category | Science & Research |
| Secondary Applicable Categories | IT & Technology; Industrial Engineering |
| Audience Reach | Global, with strong Asia-Pacific relevance |
| Estimated Attendance / Expected Footfall | Attendance figure not publicly confirmed by the organizer. |
| Attendance Data Reliability | Low for volume metrics; high for date, venue, theme, publication pathway, and co-sponsorship details |
| Main Purpose of Event | To present and discuss research, applications, and emerging trends in control systems, robotics, and machine learning, and to enable collaboration among scientists, engineers, industrialists, scholars, and other professionals. |
About the Event
ICCRT 2026 is an international conference focused on control and robot technology, with specific emphasis on technical advances, applications, and research trends linked to robotics, control systems, and machine learning. According to the official event website, the conference will be held at Tokai University (Shonan Campus) in Hiratsuka, Japan, from August 18 to 20, 2026, and accepted papers will be published in IEEE conference proceedings for inclusion in IEEE Xplore and submission to Ei Compendex and Scopus.
From a commercial intelligence perspective, ICCRT 2026 is more relevant for research partnerships, technology scouting, university collaboration, innovation outreach, recruitment, applied R&D visibility, and long-cycle enterprise or public-sector relationship building than for high-volume trade-show lead capture. The participant mix is likely to include academic labs, engineering faculties, robotics researchers, automation developers, technical managers, and organizations monitoring emerging control and robotics capabilities.
1. Who Attends: Buyers / Attendees
| Buyer / Attendee Segment | Typical Organizations | Buying Role or Influence | Relevance to Exhibitors / Suppliers |
|---|---|---|---|
| University researchers and faculty | Engineering universities, robotics labs, research institutes | Influence specification, lab equipment selection, software evaluation, collaboration decisions | High for research tools, simulation software, sensors, testing systems, academic partnerships |
| R&D engineers and technical leads | Robotics firms, automation companies, industrial AI developers | Evaluate enabling technologies, prototypes, components, algorithms, development platforms | High for component suppliers, embedded systems vendors, industrial software providers |
| Industrialists and innovation teams | Manufacturing groups, applied robotics teams, corporate innovation units | Explore commercialization potential and emerging technologies | Relevant for pilot projects, proof-of-concept engagement, long-term enterprise sales |
| Graduate researchers and next-generation scientists | Universities, doctoral programs, research centers | Early-stage influence on tool adoption and research direction | Useful for awareness, future-user acquisition, talent pipelines |
| Government and STEM research stakeholders | Research funding bodies, public labs, policy-linked innovation programs | Influence grant priorities, institutional partnerships, public R&D initiatives | Moderate to high for public research collaborations and funded innovation programs |
| Professional societies and committee members | Robotics associations, engineering societies, conference committees | Influence ecosystem visibility, speaking, partnerships, credibility | Useful for sponsorship, thought leadership, ecosystem access |
2. Event Location and Attendee Geographic Origin
| Geographic Area | Likely Attendee Origin | Buyer Concentration | Notes |
|---|---|---|---|
| Hiratsuka | Host-city attendees, local faculty, students, nearby engineering professionals | Low to medium | Venue-based participation likely from Tokai University community and regional visitors |
| Kanagawa | Regional academics, technology professionals, industrial engineering stakeholders | Medium | Kanagawa connects the event to a major advanced-manufacturing and technology corridor |
| Greater Tokyo / Yokohama corridor | Researchers, robotics firms, industrial automation companies, corporate innovation teams | High | Most commercially relevant domestic buyer pool for robotics and control technology outreach |
| Japan national | Universities, public labs, corporate R&D teams, manufacturing engineering groups | High | Official wording states participation from professionals “from all over the world,” implying national and international pull |
| Asia-Pacific | Likely attendees from Singapore, China, South Korea, Taiwan, and wider Asia-Pacific research networks | Medium to high | Co-sponsorship by the Robotics Society of Singapore supports broader regional relevance |
| International | Researchers and technical professionals from Europe and North America | Medium | Likely supported by publication visibility through IEEE Xplore and indexing submission pathways |
3. Audience Reach
| Reach Level | Assessment | Explanation |
|---|---|---|
| Global | Primary classification | The event explicitly targets scientists, engineers, industrialists, scholars, and professionals from all over the world and offers publication visibility through IEEE proceedings and IEEE Xplore. |
| Asia-Pacific | Secondary emphasis | Japan venue location and Singapore co-sponsorship make Asia-Pacific the strongest likely attendance zone. |
4. Sample Buyer Companies and Websites
Official current-year attendee, buyer, exhibitor, and speaker organization lists were not publicly confirmed in the provided official materials. The table below therefore combines confirmed event-affiliated organizations with high-fit robotics and control technology prospect accounts relevant to ICCRT 2026. Strong market-fit accounts are suitable for outreach and Apollo targeting, but their attendance is not confirmed.
| Buyer Company / Organization | Buyer Type | Why It Is Relevant | Website | Best Job Titles to Target | Evidence Level |
|---|---|---|---|---|---|
| Tokai University | University / host institution | Confirmed co-sponsor and venue host; relevant for research partnerships, lab solutions, instrumentation, and academic collaboration | u-tokai.ac.jp | Professor, Lab Director, Research Center Director, Procurement Officer | Confirmed Current-Year Participant |
| Robotics Society of Singapore | Professional society | Confirmed co-sponsor; relevant for ecosystem partnerships, speaker relationships, and robotics network access | robotics.org.sg | President, Committee Chair, Partnerships Director, Program Director | Confirmed Current-Year Participant |
| FANUC | Industrial robotics manufacturer | High-fit buyer-side prospect for control systems, robotics components, software, AI, and automation research collaboration | fanuc.com | R&D Director, Robotics Engineering Manager, Automation Strategy Lead | Strong Market Fit, Attendance Not Confirmed |
| Yaskawa Electric | Industrial automation and robotics company | Strong fit for motion control, robotics applications, embedded systems, and industrial AI | yaskawa-global.com | Control Systems Director, Robotics R&D Manager, Technical Partnerships Lead | Strong Market Fit, Attendance Not Confirmed |
| Mitsubishi Electric | Industrial technology enterprise | Relevant for factory automation, control technologies, sensors, and edge/AI systems | mitsubishielectric.com | Automation Director, Advanced Engineering Manager, Research Partnerships Manager | Strong Market Fit, Attendance Not Confirmed |
| Kawasaki Heavy Industries | Industrial and robotic systems operator | Relevant for industrial robotics, automation platforms, and control system innovation | global.kawasaki.com | Robotics Business Manager, Program Manager, Engineering Director | Strong Market Fit, Attendance Not Confirmed |
| OMRON | Automation and sensing technology company | Strong relevance for control architecture, machine vision, automation, and sensing applications | omron.com | Innovation Manager, Sensing Systems Director, Technical Product Manager | Strong Market Fit, Attendance Not Confirmed |
| Denso | Advanced manufacturing and robotics user | Relevant for robotics applications, mechatronics, factory systems, and machine learning deployment | denso.com | Manufacturing Technology Director, Automation Manager, R&D Engineer | Strong Market Fit, Attendance Not Confirmed |
| Hitachi | Industrial and digital systems enterprise | Relevant for applied AI, industrial control, infrastructure systems, and engineering research collaboration | hitachi.com | Digital Innovation Director, Engineering Research Lead, Systems Architect | Strong Market Fit, Attendance Not Confirmed |
| ABB | Global automation and robotics company | Relevant for industrial robotics, software control, energy-efficient automation, and research collaboration | abb.com | Robotics Business Director, Controls Manager, Innovation Partnerships Lead | Strong Market Fit, Attendance Not Confirmed |
| Siemens | Industrial automation and software enterprise | Relevant for control systems, simulation, digital twins, and manufacturing software | siemens.com | Industrial Software Director, Automation Architect, R&D Partnerships Manager | Strong Market Fit, Attendance Not Confirmed |
| RIKEN | Research institute | High-fit for advanced research collaboration, computing, AI, and experimental robotics | riken.jp | Principal Investigator, Research Center Director, Program Officer | Strong Market Fit, Attendance Not Confirmed |
5. Job Profiles, Industries and Event Type
| Priority | Job Title / Function | Department | Seniority Level | Why This Role Matters |
|---|---|---|---|---|
| 1 | R&D Director | Research & Development | Director | Owns evaluation of emerging robotics, control, and machine learning technologies |
| 2 | Engineering Director | Engineering | Director | Influences platform selection, technical validation, and partner engagement |
| 3 | Robotics Engineering Manager | Engineering / Product Development | Manager | Key evaluator for robotics hardware, middleware, motion systems, and test environments |
| 4 | Control Systems Manager | Engineering / Automation | Manager | Relevant for controls software, sensors, algorithms, and integration tools |
| 5 | Principal Investigator / Professor | Academic Research | Senior | High influence over lab purchases, research collaborations, and student adoption |
| 6 | Lab Director | Research / Innovation | Director | Budget and tool authority within university and research-center environments |
| 7 | Technical Product Manager | Product | Manager | Bridges research output and commercialization decisions |
| 8 | Innovation Partnerships Director | Business Development / Partnerships | Director | Relevant for joint research, sponsorship, university-industry collaboration, and pilot programs |
| 9 | Procurement Officer | Procurement | Manager / Officer | Important for university equipment purchases and institutional vendor onboarding |
| 10 | Program Manager | Research Programs / Engineering Programs | Manager | Coordinates funded initiatives, implementation timing, and multi-stakeholder projects |
| Priority | Apollo Industry | Why It Fits the Event | Best Buyer Use Case |
|---|---|---|---|
| 1 | Research | Core fit for institutes and research centers involved in robotics and control | Lab collaborations, grants, pilot programs |
| 2 | Higher Education | Universities are a major attendee and influence group | Equipment sales, software licensing, academic partnerships |
| 3 | Industrial Automation | Direct fit for control, motion, and automation buyers | System upgrades, proof-of-concept projects |
| 4 | Mechanical or Industrial Engineering | Strong fit for robotics design, mechatronics, and controls applications | Engineering software and hardware tools |
| 5 | Electrical/Electronic Manufacturing | Relevant to sensors, controllers, embedded systems, and robotics components | Component supply and design partnerships |
| 6 | Information Technology & Services | Relevant to AI, machine learning, integration, and data services | ML platforms, systems integration, analytics |
| 7 | Computer Software | Fits simulation, control software, AI tooling, and developer platforms | Software licensing and technical adoption |
| 8 | Computer Hardware | Relevant to robotics compute, controllers, and embedded devices | Hardware benchmarking and lab deployment |
| 9 | Machinery | Applies to industrial machinery makers adopting control and robotics innovations | Factory automation and OEM relationships |
| 10 | Automotive | Strong user market for robotics, controls, and smart manufacturing | Production line automation and testing systems |
| 11 | Government Administration | Relevant for public research support and university-linked programs | Grant-backed research initiatives and procurement |
| 12 | Aviation & Aerospace | Advanced controls and autonomous systems are relevant in high-spec engineering sectors | Control validation, robotics R&D, sensing systems |
6. Estimated Attendance
| Metric | Figure | Status | Source / Basis | Notes |
|---|---|---|---|---|
| Estimated total footfall | Attendance figure not publicly confirmed by the organizer. | Not confirmed | Official event website content reviewed | No official attendee count published in the provided source material |
| Exhibitor count | Not publicly confirmed | Not confirmed | Official event website content reviewed | Conference appears primarily paper- and program-led rather than expo-led |
| Buyer count | Not publicly confirmed | Not confirmed | Official event website content reviewed | No dedicated hosted-buyer or procurement program identified |
| Speaker count | Not publicly confirmed in the provided source text | Not confirmed | Official event website navigation indicates keynote and invited speaker sections | Speaker roster should be checked closer to event date |
| Sponsor count | 2 named co-sponsors confirmed | Confirmed | Official event homepage | Tokai University (Shonan Campus) and Robotics Society of Singapore |
| Historical attendance | Not publicly confirmed in the provided materials | Historical / prior-year evidence unavailable | Official source text references prior editions but not numeric attendance | Use caution when forecasting list volume |
7. Key Focus Areas and Buyer Engagement
| Focus Area | Typical Buyer Need | Buyer Engagement Opportunity | Relevant Supplier Offering |
|---|---|---|---|
| Robotics | Evaluate designs, components, control logic, and applications | Technical demos, research collaboration, component benchmarking | Robotic subsystems, actuators, sensing, test platforms |
| Control Systems | Improve precision, stability, responsiveness, and integration | Algorithm validation, software tools, controller evaluation | Control software, embedded systems, simulation environments |
| Machine Learning | Apply ML to robotics, optimization, autonomy, and predictive decisioning | Data partnerships, AI proof-of-concept discussions, technical paper follow-up | ML platforms, edge AI, analytics software, model deployment tools |
| Industrial Automation | Increase efficiency and automate repetitive or precision tasks | OEM outreach, system integration partnerships, pilot deployment | Automation software, controls hardware, integration services |
| Academic Research Collaboration | Find research partners, funding alignment, and publication opportunities | Joint lab programs, sponsored research, co-authored innovation projects | Grant support tools, specialist equipment, research services |
| Talent and Knowledge Exchange | Access emerging researchers and technical specialists | Recruitment branding, academic outreach, internship pathways | Employer branding, university relations, technical education support |
Lead Quality Assessment
| Factor | Assessment | Explanation |
|---|---|---|
| Buyer relevance | Medium | Best for technical evaluators, research leaders, and innovation teams rather than transactional volume buyers. |
| Decision-maker availability | Medium | Senior technical influencers are likely present, but procurement and commercial budget owners may be less concentrated than at a trade expo. |
| Data collection potential | Low to Medium | No public attendee count or buyer program confirmed; list-building depends on program, committee, paper, and speaker data availability. |
| Apollo targeting potential | High | Strong industry, title, geography, and keyword targeting available across robotics, research, and industrial automation accounts. |
| Geographic targeting potential | High | Japan, Singapore, and broader Asia-Pacific clusters can be targeted efficiently. |
| Best outreach approach | High | Use technical-value messaging: research collaboration, product validation, pilot support, and innovation outcomes. |
| Overall lead quality | Medium to High | High-quality niche audience for advanced technology suppliers; weaker for broad-based transactional prospecting. |
| Best use case | High | Strategic account outreach, university-industry collaborations, R&D pipeline development, and thought-leadership engagement. |
| Limitations / risks | Medium | Limited public buyer verification, uncertain event scale, and likely heavier academic weighting than commercial expo traffic. |
Apollo.io Targeting Recommendation
| Filter Type | Recommended Filters | Purpose |
|---|---|---|
| Apollo industries | Research; Higher Education; Industrial Automation; Mechanical or Industrial Engineering; Electrical/Electronic Manufacturing; Information Technology & Services; Computer Software; Computer Hardware; Machinery; Automotive; Government Administration; Aviation & Aerospace | Capture research, engineering, robotics, and applied automation buyers |
| Departments | Engineering; Research; Product; Operations; Procurement; Information Technology; Business Development | Focus on technical decision-makers and collaboration owners |
| Seniority | Director; VP; Head; Manager; CXO; Owner; Partner; Professor-equivalent where available in database | Prioritize budget and influence authority |
| Job titles | R&D Director, Engineering Director, Robotics Engineering Manager, Control Systems Manager, Automation Director, Technical Product Manager, Innovation Director, Research Scientist, Lab Director, Program Manager, Partnerships Director, Procurement Officer | Targets the roles most aligned with event subject matter |
| Geography | Japan; Singapore; South Korea; China; Taiwan; Germany; United States | Prioritize Asia-Pacific first, then global robotics and automation centers |
| Employee size | 51–200; 201–500; 501–1,000; 1,001–5,000; 5,001+ | Balances innovation-oriented midsize firms with major enterprise buyers |
| Keywords | robotics, robot technology, control systems, automation, mechatronics, machine learning, autonomous systems, computer vision, industrial AI, motion control, embedded systems, intelligent systems | Refines account and contact relevance |
| Technologies | Use where available: AI/ML, industrial automation, simulation, PLC, edge computing, robotics stack | Narrow toward technically active accounts |
| Revenue range | $10M–$50M; $50M–$500M; $500M+ | Focus on accounts with budgets for innovation, equipment, and long-cycle programs |
| Company type | Public company, private company, university, nonprofit research institute | Supports both commercial and academic prospecting |
Suggested Apollo Search Logic: (“robotics” OR “control systems” OR “industrial automation” OR “machine learning” OR “autonomous systems” OR “mechatronics” OR “motion control”) AND (Engineering OR Research OR Product OR Innovation) AND (Japan OR Singapore OR South Korea OR China). For university-led targeting, combine Higher Education or Research with titles such as Professor, Lab Director, Research Director, and Program Manager.
Client Fit Review Required
Please share the client website or product/service details. I will review the client offering and identify the highest-fit buyer companies, Apollo industries, seniority levels, departments, and job titles from this event.
Sources & Verification Notes
| Source | Type | What It Verified | Reliability |
|---|---|---|---|
| ICCRT 2026 Official Website | Official event website | Event name, dates, venue, city, country, co-sponsors, conference purpose, publication pathway, submission deadlines, and status as an upcoming event | High |
| Tokai University | Institution website | Host institution identity and domain for organization profiling | High |
| Robotics Society of Singapore | Association website | Co-sponsor organization identity and domain for partnership profiling | High |
| Official homepage text provided by user | Primary-source extract | Confirmed that attendance figures, exhibitor counts, and buyer counts were not publicly stated in the supplied official materials | High |
Suitability for B2B attendee list building: Moderate. The event is relevant for high-value niche targeting in robotics, control systems, academic research, and industrial innovation, but public list transparency appears limited at this stage.
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