2026 11th International Conference on Control, Robotics and Cybernetics (CRC 2026) – Event Attendee & Buyer Profile Analysis
Event date: September 18–20, 2026
Location: Hefei, China
Event status: Upcoming
Research date: June 29, 2026
Event Overview
| Event Name |
2026 11th International Conference on Control, Robotics and Cybernetics (CRC 2026) |
| Event Date |
September 18–20, 2026 |
| Event Status |
Upcoming |
| Venue |
Anhui University |
| City |
Hefei |
| State / Region |
Anhui Province |
| Country |
China |
| Organizer |
CRC 2026 organizing committee; event officially stated as co-sponsored by IEEE and Anhui University, China |
| Official Event Website |
iccrc.org |
| Event Type |
International academic and professional conference |
| Primary Category |
IT & Technology |
| Secondary Applicable Categories |
Industrial Engineering; Science & Research |
| Audience Reach |
International academic reach with China-based host location |
| Estimated Attendance / Expected Footfall |
Attendance figure not publicly confirmed by the organizer. |
| Attendance Data Reliability |
Low for quantity metrics; high for event identity, date, location, and subject-matter scope based on official event website |
| Main Purpose of Event |
Research presentation, technical knowledge exchange, publication, university-industry collaboration, and networking in control systems, robotics, cybernetics, intelligent decision-making, and industrial automation |
About the Event
CRC 2026 is the 11th edition of the International Conference on Control, Robotics and Cybernetics, scheduled for September 18–20, 2026 in Hefei, China, with Anhui University identified on the official event website and the conference officially stated as co-sponsored by IEEE and Anhui University. The conference is positioned as a recurring international forum for scientists, scholars, engineers, professionals, management, and students to present ongoing work and discuss developments across control theory, robotics, autonomous systems, perception, intelligent decision-making, multi-agent systems, and industrial automation.
From a commercial intelligence perspective, CRC 2026 matters less as a mass-market exhibition and more as a high-value technical networking environment. It is relevant for organizations selling research tools, laboratory equipment, industrial automation systems, embedded platforms, robotics components, simulation software, testing solutions, sensing technologies, and academic partnership services. It is also useful for identifying engineering influencers, research collaborators, sponsor prospects, and university-industry relationship targets, although it is less likely than a trade expo to provide a broad, publicly visible buyer list.
1. Who Attends: Buyers / Attendees
| Buyer / Attendee Segment |
Typical Organizations |
Buying Role or Influence |
Relevance to Exhibitors / Suppliers |
| University faculty and principal investigators |
Universities, engineering schools, robotics labs, control systems departments |
Influence research equipment, software, sensors, lab platforms, and collaboration decisions |
High relevance for research instrumentation, simulation, embedded systems, and technical sponsorship |
| Research institution scientists and engineers |
Public and private research institutes focused on automation, AI, robotics, mechatronics, and cybernetics |
Evaluate technical performance, pilot technologies, and collaborative research tools |
Strong fit for advanced components, testing environments, machine vision, and data platforms |
| Industrial R&D and automation engineers |
Manufacturers, robotics firms, automation vendors, embedded control developers |
Provide technical evaluation input and product integration feedback |
Relevant for industrial automation, control hardware, robotics subsystems, and applied software vendors |
| Graduate researchers and doctoral candidates |
Universities and graduate programs in robotics, AI, control, embedded systems |
Emerging technical users; lower direct budget authority but high future influence |
Useful for software trials, academic licensing, and future pipeline building |
| Conference speakers, committee members, and technical chairs |
Academic leaders, senior researchers, professional societies |
High influence on partnerships, sponsorships, program visibility, and reputation |
Important for thought leadership outreach and co-marketing opportunities |
| Corporate innovation and technical partnerships teams |
Technology companies, robotics developers, automation solution providers |
Assess collaboration, recruitment, sponsored research, and pilot opportunities |
Good fit for partnership-led B2B outreach, especially university-industry programs |
| Academic publishers and conference technology providers |
Publishing, indexing, event services, submission management platforms |
Support publication workflow, indexing, and conference operations |
Moderate fit for service providers rather than direct industrial buying |
2. Event Location and Attendee Geographic Origin
| Geographic Area |
Likely Attendee Origin |
Buyer Concentration |
Notes |
| Hefei |
Host-city attendees from Anhui University and local technical ecosystem |
Moderate to high academic concentration |
Most accessible for local faculty, students, and nearby technical partners |
| Anhui Province |
Regional universities, engineering institutes, and industrial automation stakeholders |
Moderate |
Likely draw from the broader province due to host university location |
| East China business and research hubs |
Shanghai, Nanjing, Hangzhou, Suzhou, and other nearby R&D corridors |
High for technical and academic participation |
Likely source of paper authors, speakers, and engineering participants |
| National China |
Universities, research institutes, and companies across China |
High |
Official wording welcomes universities, research institutions, and companies broadly |
| International |
Global researchers and engineers in control, robotics, and cybernetics |
Medium |
Conference is positioned as an international platform, but current-year country mix is not publicly disclosed |
3. Audience Reach
| Reach Level |
Assessment |
Explanation |
| Global |
Primary classification |
The official site describes CRC as a global platform for scientists, scholars, and engineers, indicating international positioning. |
| National |
Secondary reach |
The China host location and university base make domestic attendance likely to be substantial. |
| Regional |
Supporting layer |
East China academic and industrial research communities are likely to be well represented due to travel accessibility. |
4. Sample Buyer Companies and Websites
| Buyer Company / Organization |
Buyer Type |
Why It Is Relevant |
Website |
Best Job Titles to Target |
Evidence Level |
| Anhui University |
Host university / research buyer |
Named on the official event website and venue context; highly relevant for research, robotics, control systems, and academic collaboration procurement |
ahu.edu.cn |
Professor, Lab Director, Dean, Procurement Office, Research Administrator |
Confirmed Current-Year Participant |
| IEEE |
Professional association / technical program stakeholder |
Officially stated as co-sponsor; relevant for conference standards, publication ecosystem, and technical community influence |
ieee.org |
Conference Operations, Technical Program Lead, Partnerships Manager |
Confirmed Sponsor / Exhibitor |
| Current-year attendee organizations |
Universities, research institutions, and companies |
The official website states these groups are welcomed, but no public attendee, exhibitor, speaker-organization, or sponsor roster was available in the supplied official content |
N/A |
Procurement lead, Professor, R&D Director, Automation Engineer |
Attendance Not Publicly Confirmed |
Note: Public current-year buyer or attendee lists were not identified in the supplied official source content. This limits confirmed account-level targeting from the event itself. CRC 2026 is therefore more suitable for role-based and institution-type targeting than for guaranteed attendee-list building.
5. Job Profiles, Industries and Event Type
| Priority |
Job Title / Function |
Department |
Seniority Level |
Why This Role Matters |
| 1 |
Professor / Principal Investigator |
Research / Engineering |
Senior |
Direct influence over lab technologies, research collaborations, and pilot deployments |
| 2 |
Lab Director |
Research Operations |
Director |
Often manages technical infrastructure, equipment selection, and vendor evaluation |
| 3 |
Dean / Department Chair |
Academic Leadership |
Executive / Senior |
Useful for strategic partnerships, sponsorships, and institutional adoption discussions |
| 4 |
R&D Director |
Research & Development |
Director |
Key industrial decision-maker for applied robotics, control systems, and embedded innovation |
| 5 |
Automation Engineer |
Engineering |
Manager / Individual Contributor |
Technical evaluator for industrial automation and control applications |
| 6 |
Robotics Engineer |
Engineering / Product Development |
Manager / Individual Contributor |
Core technical user for sensors, simulation, software, and robot subsystems |
| 7 |
Embedded Systems Engineer |
Engineering |
Manager / Individual Contributor |
Relevant to real-time control, hardware-software integration, and industrial applications |
| 8 |
Procurement Manager |
Procurement / Administration |
Manager |
Important for converting technical demand into purchasing activity at universities and research institutes |
| 9 |
Partnerships Director |
Business Development / External Relations |
Director |
High value for sponsorships, university-industry collaboration, and joint projects |
| 10 |
Program Manager |
Research Programs / Engineering |
Manager |
Relevant for funded projects, technology coordination, and implementation planning |
| Priority |
Apollo Industry |
Why It Fits the Event |
Best Buyer Use Case |
| 1 |
Higher Education |
Core attendee base includes universities, faculty, and students |
Lab systems, academic software, sponsorships, research collaborations |
| 2 |
Research |
Conference is centered on ongoing research and publication |
Instrumentation, data systems, testing platforms, research services |
| 3 |
Industrial Automation |
Directly aligned with official track on industrial automation and real-time control applications |
Automation hardware, controls, factory software, pilot deployments |
| 4 |
Mechanical or Industrial Engineering |
Broad fit for robotics, mechatronics, control systems, and engineering research |
Applied engineering tools and design-to-test platforms |
| 5 |
Electrical/Electronic Manufacturing |
Relevant to sensing, control electronics, embedded devices, and automation hardware |
Boards, controllers, sensors, embedded integration |
| 6 |
Information Technology & Services |
Relevant for AI, systems integration, technical platforms, and digital collaboration tools |
Platform sales, engineering services, cloud-supported R&D |
| 7 |
Computer Software |
Modeling, simulation, algorithm development, and decision systems are central themes |
Simulation tools, analytics, machine learning, developer environments |
| 8 |
Computer Hardware |
Applicable for controllers, edge computing, processing platforms, and test hardware |
Technical hardware procurement and evaluation |
| 9 |
Semiconductors |
Relevant to robotics electronics, embedded systems, and real-time control devices |
Component sourcing and research hardware collaborations |
| 10 |
Machinery |
Fit for applied robotics and automation system builders |
Industrial robot applications and manufacturing research |
| 11 |
Aviation & Aerospace |
Potential fit for advanced control systems, autonomy, and navigation research users |
Specialized control and autonomy applications |
| 12 |
Defense & Space |
Relevant for autonomous systems, multi-agent control, and sensing research, where applicable |
Advanced systems research and technical partnerships |
6. Estimated Attendance
| Metric |
Figure |
Status |
Source / Basis |
Notes |
| Estimated total footfall |
Attendance figure not publicly confirmed by the organizer. |
Not confirmed |
Official website content reviewed |
No attendee volume stated in supplied official source |
| Exhibitor count |
Not publicly confirmed |
Not confirmed |
Official website content reviewed |
This appears to be a conference format rather than a large exhibition-led expo |
| Buyer count |
Not publicly confirmed |
Not confirmed |
Official website content reviewed |
No formal hosted-buyer or procurement count published |
| Speaker count |
Not publicly confirmed in supplied source text |
Not confirmed |
Official website content reviewed |
Site menu references keynote and invited speakers, but counts were not available in the supplied content |
| Sponsor count |
2 named entities in supplied content |
Confirmed partial data |
Official website content reviewed |
IEEE and Anhui University are explicitly stated as co-sponsors |
| Historical attendance |
Not publicly confirmed in supplied source text |
Historical / prior-year evidence unavailable in provided material |
Official website content reviewed |
No prior-year attendance figures provided in the supplied source text |
7. Key Focus Areas and Buyer Engagement
| Focus Area |
Typical Buyer Need |
Buyer Engagement Opportunity |
Relevant Supplier Offering |
| Advanced control theory, modeling & estimation |
Simulation, algorithm development, validation environments |
Technical demos, academic licensing, research collaboration outreach |
Simulation software, modeling tools, control libraries, test benches |
| Robotics and autonomous systems |
Robot platforms, perception systems, motion control, autonomy stacks |
Product seeding, pilot partnerships, researcher adoption programs |
Robotics components, machine vision, navigation, edge compute |
| Human–machine collaboration |
Safety, interface design, collaborative control, usability testing |
Joint research themes and user study partnerships |
HMI solutions, collaborative robot systems, sensing tools |
| Perception and intelligent decision |
Data processing, AI models, sensor fusion, decision support |
Software trials, dataset partnerships, technical workshops |
AI software, analytics engines, sensors, compute platforms |
| Networked, distributed & multi-agent systems |
Coordination protocols, communication layers, distributed control testing |
Applied research collaborations and architecture discussions |
Networking software, middleware, distributed computing tools |
| Industrial automation and embedded real-time control |
Controllers, embedded devices, factory integration, real-time reliability |
Industry-use-case discussions and technical proof-of-concept outreach |
PLCs, controllers, embedded boards, automation software, test equipment |
| Publication and academic visibility |
Indexed publication, conference presentation, reputation building |
Sponsorship, workshop support, branded research awards |
Conference sponsorship, academic outreach, publishing support services |
Lead Quality Assessment
| Factor |
Assessment |
Explanation |
| Buyer relevance |
High |
High for research, robotics, control, automation, and technical partnership offerings; lower for generalist B2B services |
| Decision-maker availability |
Medium |
Strong access to technical influencers and academic leaders, but not necessarily final purchasing authorities in all cases |
| Data collection potential |
Low to Medium |
Public attendee data appears limited based on supplied source content; role-based and institution-based prospecting is more practical than attendee-list extraction |
| Apollo targeting potential |
High |
The conference themes map well to Apollo industry, department, title, and keyword filters |
| Geographic targeting potential |
High |
China and broader Asia research and automation clusters can be targeted effectively, with optional global expansion |
| Best outreach approach |
High |
Use technical relevance messaging, workshop support, research collaboration language, and solution-to-track alignment |
| Overall lead quality |
High for niche technical sellers; Medium for broad B2B vendors |
Best when the offering directly supports robotics, control, AI, automation, lab infrastructure, or research programs |
| Best use case |
Thought leadership, sponsorship, technical prospecting, academic partnership development |
Effective for high-value, expertise-led outreach rather than pure volume lead capture |
| Limitations / risks |
Medium |
Limited public attendee confirmation, conference-style format, and potentially long academic purchasing cycles |
Apollo.io Targeting Recommendation
| Filter Type |
Recommended Filters |
Purpose |
| Apollo industries |
Higher Education; Research; Industrial Automation; Mechanical or Industrial Engineering; Electrical/Electronic Manufacturing; Information Technology & Services; Computer Software; Computer Hardware; Semiconductors; Machinery |
Capture the most relevant institution and technology supplier/buyer profiles around CRC 2026 themes |
| Departments |
Engineering; Research; Information Technology; Operations; Procurement; Education; Business Development |
Mix technical evaluators with institutional influencers and collaboration owners |
| Seniority |
Director; VP; CXO; Partner; Manager; Owner; Head; Senior |
Prioritize decision-makers and technical leaders with influence over adoption or partnerships |
| Job titles |
Professor, Principal Investigator, Lab Director, Dean, Department Chair, R&D Director, Robotics Engineer, Automation Engineer, Embedded Systems Engineer, Program Manager, Procurement Manager, Partnerships Director |
Align outreach to both technical users and institutional buyers |
| Geography |
China first; optional expansion to East Asia, Southeast Asia, Europe, and North America for global conference-relevant prospecting |
Mirror host-market accessibility while preserving international relevance |
| Employee size |
51–200; 201–500; 501–1,000; 1,001–5,000; 5,001+ |
Focus on universities, institutes, and established engineering organizations with research budgets |
| Keywords |
control systems, robotics, cybernetics, autonomous systems, human-machine collaboration, intelligent decision, computational intelligence, multi-agent systems, industrial automation, embedded systems, real-time control, modeling, estimation |
Improve thematic precision inside broader industries |
| Technologies, if relevant |
Machine vision, robotics software, PLC/SCADA-related environments, edge computing, simulation platforms, AI/ML tooling |
Useful when prospecting solution buyers with deployed technical stacks |
| Revenue range, if relevant |
Use broad or optional filtering; many academic institutions are better filtered by employee size and industry than by revenue |
Avoid over-filtering universities and research bodies |
| Company type |
Educational institutions, research organizations, private companies, public companies, nonprofit academic bodies |
Support mixed outreach across academia and industry |
Suggested Apollo Search Logic: ("robotics" OR "control systems" OR "cybernetics" OR "industrial automation" OR "embedded systems" OR "autonomous systems" OR "multi-agent systems" OR "intelligent decision") AND (Professor OR "Lab Director" OR "R&D Director" OR "Automation Engineer" OR "Robotics Engineer" OR "Procurement Manager" OR "Partnerships Director") AND (China OR Asia, depending on campaign scope).
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Sources & Verification Notes
| Source |
Type |
What It Verified |
Reliability |
| CRC 2026 Official Website |
Official event website |
Event title, dates, Hefei location, China country, co-sponsorship by IEEE and Anhui University, conference mission, tracks, submission timeline, publication notes |
High |
| CRC 2026 Official Website – Important Dates / Conference Information Sections |
Official event website subsection content |
Submission deadline, notification date, registration deadline, and conference date confirmation |
High |
| Supplied official website text provided by requester |
Primary-source extract |
Used as the primary source of truth for this report where explicit factual details were present |
High |
Verification note: Public current-year attendee counts, buyer counts, exhibitor counts, and participant organization lists were not available in the supplied official source content. Accordingly, this report clearly distinguishes confirmed event facts from likely attendee profiles and does not claim unverified attendance.