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IEEE 2026 6th International Conference on Control and Intelligent Robotics (ICCIR 2026)
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About this event
IEEE 2026 6th International Conference on Control and Intelligent Robotics (ICCIR 2026)
The IEEE 2026 6th International Conference on Control and Intelligent Robotics (ICCIR 2026) is a premier global forum focused on the intersection of advanced control theory and intelligent robotics. The conference brings together researchers, engineers, and industry practitioners to exchange new ideas, present cutting-edge results, and explore practical solutions for building more capable, reliable, and autonomous robotic systems.
As the sixth edition of ICCIR, the event serves as a key platform for academic and technical communities working on control, autonomy, optimization, perception, and robotics intelligence. ICCIR 2026 emphasizes both theoretical foundations and real-world engineering applications, encouraging contributions that advance algorithms, architectures, and methodologies for robots operating in dynamic, uncertain, and safety-critical environments.
What ICCIR 2026 will focus on
- Control for intelligent robotics: guidance, stabilization, feedback control, motion planning, and system identification for autonomous robotic platforms.
- Autonomy and decision-making: planning and reasoning frameworks enabling robots to adapt and act intelligently in complex settings.
- Optimization and learning-based control: combining optimization, reinforcement learning, and data-driven methods with control systems.
- Robotics intelligence and perception integration: methods that connect sensing, estimation, and control for robust robot behavior.
- Human-robot interaction and safe operation: approaches supporting effective collaboration and safe deployment.
- Emerging applications: contributions addressing real-world robotics use cases such as service robotics, industrial automation, and mobility systems.
Who should attend
ICCIR 2026 is designed for a wide spectrum of participants who are actively involved in control and robotics research or engineering delivery. Attendees typically include academic researchers, graduate students, postdoctoral fellows, automation and robotics engineers, system architects, research managers, and technical leaders from companies working on autonomous systems and intelligent machines.
Why the conference matters
Robotics systems increasingly require control and intelligence to work together—especially as robots move from structured environments into unstructured, real-world conditions. ICCIR 2026 supports this need by convening experts around core challenges such as robustness, stability, scalability, real-time performance, and validated system behavior. The conference enables meaningful technical discussions through presentations, peer-reviewed contributions, and networking among participants working on related themes.
Benefits of participating
- Connect with the control-and-robotics community: meet researchers and practitioners pursuing comparable technical goals.
- Share and discover innovations: present new work and learn about emerging methods in control and intelligent robotics.
- Explore interdisciplinary collaboration: strengthen links across control engineering, robotics, AI, optimization, and perception.
- Support real-world advancements: learn from work targeting practical deployment and system-level performance.
ICCIR 2026 is expected to serve as a high-impact meeting point for advancing the state of the art in control and intelligent robotics, fostering collaboration that accelerates innovation from laboratory research to reliable autonomous systems.
Data sheet
IEEE 2026 6th International Conference on Control and Intelligent Robotics (ICCIR 2026) – Event Attendee & Buyer Profile Analysis
Event Date: 26 June 2026 to 28 June 2026 | Location: Tianjin, China | Event Status: Upcoming | Research Date: 1 July 2026
Event Overview
| Event Name | IEEE 2026 6th International Conference on Control and Intelligent Robotics (ICCIR 2026) |
| Event Date | 26 June 2026 to 28 June 2026 |
| Event Status | Upcoming |
| Venue | Tianjin, China venue not publicly confirmed in the provided event brief |
| City | Tianjin |
| State / Region | Tianjin Municipality |
| Country | China |
| Organizer | IEEE conference ecosystem / local academic organizing committee (exact organizer should be verified on the official event page) |
| Official Event Website | Official conference page should be verified through IEEE / conference hosting channels before outreach use |
| Event Type | Academic conference, research symposium, technology forum |
| Primary Category | Science & Research |
| Secondary Applicable Categories | Industrial Engineering; IT & Technology; Electric & Electronics |
| Audience Reach | National-to-Global academic and industry reach |
| Estimated Attendance / Expected Footfall | Attendance figure not publicly confirmed by the organizer. |
| Attendance Data Reliability | Low to Medium. No current-year attendance count was publicly confirmed in the provided brief. |
| Main Purpose of Event | To present research, exchange technical knowledge, and connect academic and industry participants working in control systems, intelligent robotics, automation, sensing, and related AI-enabled engineering fields. |
About the Event
ICCIR 2026 is positioned as a specialized IEEE-linked academic conference focused on control engineering, robotics, automation, and intelligent systems. Events of this type typically bring together researchers, graduate students, university laboratories, and selected technology companies to share papers, prototype approaches, and applied methods across autonomous systems, machine perception, motion control, and human-machine interaction.
For B2B outreach, the event is most relevant to suppliers serving robotics R&D, industrial automation, embedded systems, sensors, components, simulation software, AI tooling, and research instrumentation. It is also relevant for organizations seeking partnership, talent, collaboration, licensing, or early-stage technology intelligence in advanced manufacturing and smart systems.
1. Who Attends: Buyers / Attendees
| Buyer / Attendee Segment | Typical Organizations | Buying Role or Influence | Relevance to Exhibitors / Suppliers |
|---|---|---|---|
| Researchers and principal investigators | Universities, labs, research institutes | Specify tools, components, and collaboration needs | High for research platforms, instruments, and grants-supported purchases |
| Department heads / lab directors | Engineering schools, institutes, applied research centers | Budget authority or approval influence | High for capital equipment, software, and research services |
| Robotics engineers / system architects | OEMs, automation firms, integrators, labs | Technical evaluator and influencer | High for sensors, controllers, motion systems, simulation, AI stacks |
| Automation and controls managers | Manufacturing firms, system integrators, process plants | Operational buying input | High for industrial automation and controls suppliers |
| CTO / technology leaders | Deep-tech companies, robotics startups, industrial firms | Strategic technology selection | High for platform vendors, AI, software, and embedded systems |
| Product managers / innovation managers | Robotics OEMs, automation vendors, electronics firms | Roadmap and vendor evaluation | High for roadmap-aligned suppliers and partnerships |
| Procurement and sourcing teams | Universities, government labs, industrial firms | Commercial purchasing and vendor qualification | Medium to High for contractable products and services |
| Government / public-sector technical buyers | State labs, public universities, research agencies | Specification and funded acquisition influence | High for compliant hardware, research tools, and training |
| Industry R&D teams | Automation companies, electronics manufacturers, industrial OEMs | Technology scouting and adoption | High for applied research commercialization |
| Students and early-career engineers | Universities and training programs | Future buyers and influencers | Medium for recruitment, education, and brand building |
2. Event Location and Attendee Geographic Origin
| Geographic Area | Likely Attendee Origin | Buyer Concentration | Notes |
|---|---|---|---|
| Host city: Tianjin | Local universities, institutes, technology firms | Medium | Primary convenience-market attendance due to proximity |
| Host region: Tianjin Municipality / Beijing-Tianjin-Hebei corridor | Beijing, Hebei, nearby R&D and manufacturing hubs | High | Strong regional academic and industrial concentration |
| National reach: China | Universities, labs, OEMs, automation suppliers | High | Likely attendance from major Chinese engineering and robotics centers |
| International reach | Selected overseas researchers, IEEE network participants, partner institutions | Medium | International participation is plausible for an IEEE conference, but not publicly confirmed in the brief |
| East Asia technology corridor | Robotics and automation organizations from neighboring markets | Medium | Potential regional cross-border collaboration and sourcing interest |
3. Audience Reach
| Reach Level | Assessment | Explanation |
|---|---|---|
| Global | Primary classification | IEEE-linked academic conferences often attract an international research audience and are discoverable across global publication and citation networks. |
4. Sample Buyer Companies and Websites
| Buyer Company / Organization | Buyer Type | Why It Is Relevant | Website | Best Job Titles to Target | Evidence Level |
|---|---|---|---|---|---|
| Tsinghua University | Research institution | Major robotics, automation, and AI research buyer/influencer | tsinghua.edu.cn | Lab Director, PI, Procurement Officer, Department Chair | Strong Market Fit, Attendance Not Confirmed |
| Peking University | Research institution | Advanced engineering and AI ecosystem | pku.edu.cn | Research Director, Faculty Lead, Lab Manager | Strong Market Fit, Attendance Not Confirmed |
| Beijing Institute of Technology | Research institution | Strong control systems, robotics, and defense-adjacent engineering relevance | bit.edu.cn | Professor, Lab Director, Technology Transfer Lead | Strong Market Fit, Attendance Not Confirmed |
| Tianjin University | Research institution | Local host-region engineering buyer and collaborator | tju.edu.cn | Department Head, Research Office, Lab Procurement | Strong Market Fit, Attendance Not Confirmed |
| Chinese Academy of Sciences | Research organization | Large-scale research procurement and innovation influence | cas.cn | Institute Director, Research Procurement, Program Manager | Strong Market Fit, Attendance Not Confirmed |
| Southeast University | Research institution | Engineering and automation research buyer | seu.edu.cn | Professor, Research Director, Lab Manager | Strong Market Fit, Attendance Not Confirmed |
| Zhejiang University | Research institution | Robotics, AI, mechatronics, and systems engineering relevance | zju.edu.cn | PI, Lab Director, Procurement, Department Chair | Strong Market Fit, Attendance Not Confirmed |
| Shanghai Jiao Tong University | Research institution | Applied robotics and automation research ecosystem | sjtu.edu.cn | Faculty Lead, Lab Head, Research Office | Strong Market Fit, Attendance Not Confirmed |
| Nankai University | Research institution | Tianjin-area academic buyer and collaborator | nankai.edu.cn | Department Chair, PI, Lab Manager | Strong Market Fit, Attendance Not Confirmed |
| Harbin Institute of Technology | Research institution | Deep engineering, robotics, and aerospace-adjacent innovation | hit.edu.cn | Professor, Research Director, Technology Transfer | 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 | Professor / Principal Investigator | Research / Academic | Senior | Owns research direction, grant-funded purchases, and collaboration choices |
| 2 | Lab Director / Research Director | R&D | Senior | Evaluates instrumentation, robots, software, and technical services |
| 3 | CTO / Technology Director | Technology | Executive | Influences platform strategy, development tools, and partnerships |
| 4 | Robotics Engineer / Systems Engineer | Engineering | Mid to Senior | Technical evaluator for hardware, control, and perception stacks |
| 5 | Automation Manager | Operations / Engineering | Mid to Senior | Responsible for automation modernization and ROI-focused selection |
| 6 | Procurement Manager / Sourcing Manager | Procurement | Mid to Senior | Commercial buyer for equipment, software, and service contracts |
| 7 | Product Manager | Product | Mid to Senior | Shapes feature needs and vendor shortlists for robotics products |
| 8 | Technology Transfer / Innovation Manager | Innovation / Commercialization | Mid to Senior | Useful for partnerships, licensing, and pilot deployment |
| Priority | Apollo Industry | Why It Fits the Event | Best Buyer Use Case |
|---|---|---|---|
| 1 | Research | Core audience includes academic and applied research buyers | Lab equipment, software, research collaboration |
| 2 | Higher Education | Universities are major attendance and procurement sources | Campus labs, faculty, research offices |
| 3 | Industrial Automation | Robotics and control systems are central to automation buyers | Controls, PLCs, motion, robotics cells |
| 4 | Mechanical or Industrial Engineering | Audience includes engineering leaders and technical evaluators | Systems integration, prototyping, test rigs |
| 5 | Computer Software | Simulation, AI, control design, and development platforms are relevant | Robotics middleware, simulation, analytics |
| 6 | Electrical/Electronic Manufacturing | Sensors, boards, and embedded systems underpin robotics | Embedded hardware, controls electronics |
| 7 | Information Technology & Services | Digital platforms, data pipelines, and AI tooling support the market | Cloud, data, integration, engineering services |
| 8 | Semiconductors | Edge compute and sensing silicon matter in intelligent robotics | AI chips, MCUs, vision processors |
| 9 | Government Administration | Public-sector universities and labs may attend and procure | Grant-funded purchases and policy-linked programs |
| 10 | Defense & Space | Robotics, autonomy, and control are strongly relevant to defense applications | Autonomy, sensors, secure systems, simulation |
6. Estimated Attendance
| Metric | Figure | Status | Source / Basis | Notes |
|---|---|---|---|---|
| Estimated total footfall | Not publicly confirmed | Estimated | No verified organizer count in the provided brief | Use caution when sizing outreach volumes |
| Exhibitor count | Not publicly confirmed | Not confirmed | Conference-style academic event; exhibitor model not verified | May be limited or absent versus trade show format |
| Buyer count | Not publicly confirmed | Not confirmed | Academic conference attendee mix | Buyers are likely technical evaluators rather than procurement-only attendees |
| Speaker count | Not publicly confirmed | Not confirmed | Agenda not verified in provided brief | Review official agenda for target speakers once available |
| Sponsor count | Not publicly confirmed | Not confirmed | No verified sponsor list in brief | Sponsors, if any, should be validated from official event materials |
| Historical attendance | Not publicly confirmed | Historical / prior-year evidence not available in the brief | Official prior-year attendance data not supplied | Recommend verifying via official proceedings or organizer archives |
7. Key Focus Areas and Buyer Engagement
| Focus Area | Typical Buyer Need | Buyer Engagement Opportunity | Relevant Supplier Offering |
|---|---|---|---|
| Robotics | Platforms, arms, mobile robots, integration | Demo advanced components and integration capability | Robotics hardware, middleware, end-effectors |
| Control systems | Precision, stability, real-time control | Show tuning, reliability, and performance gains | Controllers, PLCs, motion control software |
| AI and machine learning | Perception, autonomy, prediction, optimization | Offer applied AI for robotics workflows | ML software, edge AI, vision models |
| Sensing and electronics | Vision, lidar, tactile, force, embedded boards | Highlight accuracy, latency, and ruggedness | Sensors, embedded compute, test equipment |
| Simulation / digital twin | Training, prototyping, testing, validation | Show reduced development risk and faster iteration | Simulation software, twin platforms |
| Research equipment | Lab-grade hardware and instrumentation | Target grant-funded and lab budget buyers | Measurement systems, instruments, kits |
Lead Quality Assessment
| Factor | Assessment | Explanation |
|---|---|---|
| Buyer relevance | High | Strong fit for robotics, control, automation, and research-related suppliers |
| Decision-maker availability | Medium | Senior researchers and lab leaders are likely; formal procurement decision-makers may be fewer |
| Data collection potential | Medium | Good if agenda, author list, or proceedings are published; weaker if event remains publication-only |
| Apollo targeting potential | High | Clear industries and job titles can be targeted via Apollo by research, higher education, automation, and engineering filters |
| Geographic targeting potential | High | Strong regional clustering in Tianjin, Beijing, and eastern China plus broad national reach |
| Best outreach approach | Technical-first | Lead with application fit, research support, integration value, and collaboration opportunities |
| Overall lead quality | High | Useful for niche B2B and technical prospecting, especially in engineering and research markets |
| Best use case | B2B attendee list building, account discovery, technical lead generation | Best for suppliers to universities, labs, robotics firms, and automation organizations |
| Limitations / risks | Moderate | Conference may not publish full attendee lists; buyer intent may be technical rather than procurement-led |
Apollo.io Targeting Recommendation
| Filter Type | Recommended Filters | Purpose |
|---|---|---|
| Apollo industries | Research; Higher Education; Industrial Automation; Mechanical or Industrial Engineering; Computer Software; Electrical/Electronic Manufacturing; Information Technology & Services; Semiconductors; Government Administration; Defense & Space | Align company accounts to robotics, automation, and R&D spending patterns |
| Departments | Research; Engineering; Product; Operations; Procurement; Information Technology; Innovation | Reach technical and commercial influencers |
| Seniority | Manager; Director; VP; CXO; Owner; Partner; Professor; Head; Lead | Prioritize decision-makers and technical approvers |
| Job titles | Principal Investigator, Lab Director, Research Director, CTO, Technology Director, Robotics Engineer, Automation Manager, Procurement Manager, Sourcing Manager, Product Manager, Innovation Manager | Target roles most likely to attend, evaluate, or influence purchases |
| Geography | China; Tianjin Municipality; Beijing; Hebei; Shanghai; Jiangsu; Zhejiang; Guangdong; international research hubs in East Asia | Maximize regional relevance and event travel probability |
| Employee size | 11-50; 51-200; 201-500; 501-1000; 1000+ | Covers startups, labs, universities, and enterprise engineering buyers |
| Keywords | robotics, control systems, automation, mechatronics, intelligent systems, AI, autonomous, embedded, sensors, motion control, simulation, digital twin, research lab | Refine account and contact matching around event topics |
| Company type | Universities; research institutes; robotics OEMs; automation integrators; electronics manufacturers; government labs; deep-tech startups | Match the event’s technical and buyer ecosystem |
Suggested Apollo Search Logic: Use a combination such as: (robotics OR automation OR control systems OR mechatronics OR intelligent systems OR embedded OR sensors OR digital twin) AND (research OR higher education OR industrial automation OR computer software OR electrical/electronic manufacturing) with seniority filters for Director, VP, CXO, Professor, Head, and Manager.
Client Fit Review Required
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Sources & Verification Notes
| Source | Type | What It Verified | Reliability |
|---|---|---|---|
| IEEE | Organizer / association reference | IEEE-linked conference context and general event ecosystem | High for organizational context; specific ICCIR 2026 details should be confirmed on the official event page |
| Tianjin University | Institution reference | Regional academic relevance in Tianjin | High for geographic context |
| Chinese Academy of Sciences | Research institution reference | Research-sector buyer relevance | High for market mapping; not an attendance confirmation |
| User-provided event brief | Primary input | Event title, city, country, start date, and end date | High for the supplied fields; organizer/venue/attendance still require official confirmation |
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