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2026 8th International Conference on Robotics and Computer Vision (ICRCV 2026)
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About this event
2026 8th International Conference on Robotics and Computer Vision (ICRCV 2026)
About the Conference
The 2026 8th International Conference on Robotics and Computer Vision (ICRCV 2026) will be held from
The event will address cutting-edge advancements in robotics, computer vision, and their convergence with artificial intelligence. It aims to bridge academic research with industrial applications, fostering dialogue among experts from academia, industry, and government. Key topics include robot control, microrobotics, image/video analysis, and AI-driven automation, alongside practical implementations in healthcare, manufacturing, and smart cities.
Key Features
- Keynote and invited speeches from global leaders in robotics and computer vision.
- Oral presentations and poster sessions showcasing the latest research findings.
- Opportunities for collaboration among academics, industry professionals, and policymakers.
- Exhibition of innovative technologies and solutions in robotics and vision systems.
- Workshops and tutorials on emerging trends such as microrobotics, autonomous systems, and deep learning applications.
Call for Papers
Researchers and practitioners are invited to submit original papers on topics including, but not limited to:
- Robot control and navigation
- Micro/nano robotics and manipulation technologies
- Robot perception and sensor fusion
- Image and video analysis
- 3D reconstruction and scene understanding
- AI-driven computer vision applications
Submission Guidelines:
- Full papers (4–10 pages) or abstracts (for presentation only).
- Language: English.
- Submission methods: Online system or email to icrcv_conf@163.com.
- Deadline: July 25, 2026.
Important Dates
- Submission Deadline: July 25, 2026
- Notification of Acceptance: August 20, 2026
- Registration Deadline: September 5, 2026
Venue Information
Nanjing University of Science and Technology, Jiangyin Campus
Address: No. 8, Fuxing Road, Jiangyin City, Jiangsu Province, China.
Jiangyin, a city renowned for its industrial heritage and cultural landmarks, offers a unique setting for academic and technological exchange.
Contact Us
For inquiries, please email: icrcv_conf@163.com
Visit the official website: https://www.icrcv.org/
Data sheet
2026 8th International Conference on Robotics and Computer Vision (ICRCV 2026) – Event Attendee & Buyer Profile Analysis
Event date: November 6–8, 2026
Location: Nanjing University of Science and Technology, Jiangyin Campus, Jiangyin, Jiangsu Province, China
Event status: Upcoming
Research date: June 29, 2026
Event Overview
| Event Name | 2026 8th International Conference on Robotics and Computer Vision (ICRCV 2026) |
| Event Date | November 6–8, 2026 |
| Event Status | Upcoming |
| Venue | Nanjing University of Science and Technology, Jiangyin Campus |
| City | Jiangyin |
| State / Region | Jiangsu Province |
| Country | China |
| Organizer | Co-sponsored by Nanjing University of Science and Technology and IEEE Robotics and Automation Society |
| Official Event Website | icrcv.org |
| Event Type | International academic and industry conference |
| Primary Category | IT & Technology |
| Secondary Applicable Categories | Industrial Engineering; Science & Research; Electric & Electronics |
| Audience Reach | Global academic and technical reach with strong China-based host concentration |
| Estimated Attendance / Expected Footfall | Attendance figure not publicly confirmed by the organizer. |
| Attendance Data Reliability | Low for headcount; high for dates, venue, host city, and conference scope based on official website content |
| Main Purpose of Event | Research presentation, academic exchange, technical collaboration, and cross-sector discussion on robotics and computer vision applications |
About the Event
ICRCV 2026 is the 8th edition of an international conference focused on robotics and computer vision. According to the official event website, the conference will take place on November 6–8, 2026 in Jiangyin, China, at the Nanjing University of Science and Technology, Jiangyin Campus. The program is positioned around paper presentations, keynote and invited talks, oral presentations, and poster sessions covering topics such as robot control, microrobotics, robot perception, data fusion, image and video analysis, and image-based modeling.
The event matters primarily as a high-value technical networking and research-commercialization platform rather than a mass-market trade show. Its strongest attendee segments are expected to include university researchers, R&D engineers, labs, robotics developers, AI and vision specialists, and selected industry and government participants interested in applied robotics, automation, machine perception, and related technologies. For lead generation, the event is more suitable for precision account targeting and speaker/author-based outreach than for broad attendee-list acquisition, because publicly confirmed buyer-side attendee data is limited.
1. Who Attends: Buyers / Attendees
| Buyer / Attendee Segment | Typical Organizations | Buying Role or Influence | Relevance to Exhibitors / Suppliers |
|---|---|---|---|
| University research leaders | Engineering schools, robotics labs, AI and vision institutes | Influence lab equipment, software, sensors, and collaborative research procurement | High for robotics platforms, imaging systems, simulation tools, and research services |
| Industry R&D and engineering teams | Robotics firms, automation suppliers, machine vision vendors, industrial technology companies | Evaluate components, algorithms, software stacks, test platforms, and partnerships | Very high for technical B2B outreach and co-development discussions |
| Government and public research participants | Public research bodies, innovation agencies, technology programs | Influence grants, public projects, pilot programs, and technology validation | Moderate to high where robotics, smart city, or advanced manufacturing initiatives are involved |
| PhD students and postdoctoral researchers | Graduate programs and university labs | Technical recommenders and future buyers; strong tool evaluators | Relevant for low-friction software, datasets, research tools, and developer ecosystems |
| Conference speakers, authors, and reviewers | Academic experts and senior technologists | High technical authority; strong influence over solution adoption and reputation | Very high for thought leadership, partnerships, and enterprise credibility building |
| Startups and commercialization teams | Early-stage robotics, AI, sensing, and perception companies | Evaluate technical partnerships, capital access, pilots, and component suppliers | High for ecosystem building and channel relationships |
2. Event Location and Attendee Geographic Origin
| Geographic Area | Likely Attendee Origin | Buyer Concentration | Notes |
|---|---|---|---|
| Jiangyin | Host-city academics, local industry engineers, local organizers | Medium | Strong for local university-linked attendance and nearby industrial visitors |
| Jiangsu Province | Regional universities, manufacturing firms, robotics and automation stakeholders | High | Jiangsu is a major industrial and advanced-manufacturing region |
| Yangtze River Delta | Shanghai, Suzhou, Wuxi, Nanjing, Hangzhou, and surrounding innovation hubs | Very High | Likely core regional draw for industrial AI, vision systems, and robotics innovation |
| China-wide | Researchers, engineering faculty, labs, and enterprise R&D teams nationwide | High | The official site frames the conference as an international platform hosted in China |
| International | Global scholars, reviewers, delegates, and technical specialists | Medium | International intent is confirmed; exact country mix is not publicly disclosed |
3. Audience Reach
| Reach Level | Assessment | Explanation |
|---|---|---|
| Global | Primary classification | The event is officially positioned as an international conference with participation from academia, industry, and government. |
| National | Secondary practical reach | China is likely the largest attendance base due to venue location, language accessibility, and host institution strength. |
| Regional | High concentration zone | The Yangtze River Delta is likely to contribute a dense cluster of robotics, automation, and computer vision stakeholders. |
4. Sample Buyer Companies and Websites
| Buyer Company / Organization | Buyer Type | Why It Is Relevant | Website | Best Job Titles to Target | Evidence Level |
|---|---|---|---|---|---|
| Nanjing University of Science and Technology | Academic host / research buyer | Confirmed co-sponsor and venue host; relevant for lab technology, research tools, sensors, software, and academic collaboration | njust.edu.cn | Professor, Lab Director, Research Center Director, Procurement Office, Dean, Associate Professor | Confirmed Current-Year Participant |
| IEEE Robotics and Automation Society | Professional association / technical ecosystem organization | Confirmed co-sponsor; relevant for standards, technical communities, partnerships, and thought leadership alignment | ieee-ras.org | Program Chair, Society Leadership, Technical Committee Member, Partnerships Lead | Confirmed Current-Year Participant |
| Current-year attendee company list not publicly disclosed | Data availability note | The official source reviewed confirms the conference scope and sponsors, but does not publish a verified current-year buyer-side attendee list. | icrcv.org | N/A | Confirmed Government / Procurement Organization |
| Current-year speaker organization list not fully provided in source excerpt | Data availability note | Speaker pages exist on the official website, but the supplied source text does not include verifiable organization names. | icrcv.org | N/A | Confirmed Speaker Organization |
This event is not currently supported by a publicly verified buyer-company roster in the source reviewed. For attendee list building, it is better suited to precision outreach based on organizers, speakers, committee members, authors, delegates, and affiliated labs once those names are published.
5. Job Profiles, Industries and Event Type
| Priority | Job Title / Function | Department | Seniority Level | Why This Role Matters |
|---|---|---|---|---|
| 1 | Professor / Principal Investigator | Research / Engineering | Director / Senior / Executive | Owns research direction, partnerships, and lab-level purchasing influence |
| 2 | Lab Director / Research Center Director | Research Operations | Director | Strong budget influence for equipment, software, grants, and vendor selection |
| 3 | R&D Director | Research & Development | Director | High-value target in industrial robotics and machine vision companies |
| 4 | Engineering Manager | Engineering | Manager | Evaluates deployment practicality, integration needs, and technical specifications |
| 5 | Computer Vision Scientist / AI Scientist | Research / Data Science | Senior / Manager / Individual Contributor | Core technical evaluator for algorithms, training data, tooling, and performance benchmarks |
| 6 | Robotics Engineer / Perception Engineer | Engineering | Manager / Individual Contributor | Hands-on end user and technical recommender for tools and components |
| 7 | Procurement Manager | Procurement | Manager | Relevant where universities and research centers formalize purchasing |
| 8 | Partnerships Director / Business Development Director | Partnerships / Business Development | Director | Important for research collaborations, pilots, and strategic alliances |
| Priority | Apollo Industry | Why It Fits the Event | Best Buyer Use Case |
|---|---|---|---|
| 1 | Research | Core fit for conference participants and labs | Academic centers, public institutes, funded research programs |
| 2 | Higher Education | Universities are a primary attendance base | Faculty, labs, schools of engineering, campus innovation centers |
| 3 | Information Technology & Services | Strong fit for applied AI, vision systems, and systems integration | Computer vision software, integration, deployment support |
| 4 | Computer Software | Relevant for perception stacks, simulation, data tooling, and model deployment | Algorithm vendors and developer platforms |
| 5 | Industrial Automation | Direct fit for robotics deployment and factory automation applications | Automation buyers, control systems, robotics deployment teams |
| 6 | Mechanical or Industrial Engineering | Engineering-heavy buyer group relevant to robotics design and applications | Prototype development, testing, system evaluation |
| 7 | Electrical/Electronic Manufacturing | Covers sensor, camera, board, and embedded hardware buyers | Machine vision hardware, robotics control electronics |
| 8 | Machinery | Relevant for industrial robotics users and automation adopters | Production automation and smart equipment teams |
| 9 | Computer Hardware | Useful for edge devices, compute systems, and embedded platforms | AI hardware, GPU, sensor fusion, edge deployment |
| 10 | Government Administration | Relevant where public research and innovation programs participate | Public research institutes, smart-city pilots, grant-backed programs |
| 11 | Aviation & Aerospace | Advanced robotics and vision applications often overlap with autonomy and sensing | Autonomous systems, navigation, testbed collaborations |
| 12 | Medical Devices | Relevant for image-guided systems, robotic instrumentation, and applied vision | Healthcare robotics and machine vision applications |
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 public attendee headcount found in supplied official source text |
| Exhibitor count | Not publicly confirmed | Not Confirmed | Official website content reviewed | This appears to be a conference format rather than an exhibitor-led expo |
| Buyer count | Not publicly confirmed | Not Confirmed | Official website content reviewed | Buyer-side attendance is likely fragmented across academia, labs, and industry R&D teams |
| Speaker count | Not publicly confirmed in supplied source excerpt | Partially Confirmed | Official site navigation includes keynote and invited speaker pages | Presence of speaker program is confirmed; count is not stated |
| Sponsor count | 2 named co-sponsoring organizations | Confirmed | Official welcome message | Nanjing University of Science and Technology and IEEE Robotics and Automation Society |
| Historical attendance | Not publicly confirmed in supplied source excerpt | Historical / prior-year evidence unavailable in source excerpt | Official site includes prior-year history links | No prior-year numeric attendance data extracted from supplied content |
7. Key Focus Areas and Buyer Engagement
| Focus Area | Typical Buyer Need | Buyer Engagement Opportunity | Relevant Supplier Offering |
|---|---|---|---|
| Robot control | Higher precision, autonomy, and integration efficiency | Technical demos, algorithm benchmarking, pilot collaborations | Control software, simulation tools, embedded systems |
| Microrobotics and micromanipulation | Specialized hardware, motion accuracy, experimental tooling | Research partnerships and component qualification | Precision actuators, sensors, lab equipment |
| Robot perception and data fusion | Reliable sensing, multimodal data handling, real-time decision support | Platform integration and co-development discussions | Sensors, middleware, edge AI, fusion frameworks |
| Image and video analysis | Model performance, labeling efficiency, deployment scalability | Research-to-product commercialization and enterprise proof-of-concept work | Computer vision software, datasets, annotation tools, compute infrastructure |
| Image-based modeling and recognition | Recognition accuracy, training pipeline quality, domain adaptation | Application-focused case studies and benchmark comparison | Recognition engines, modeling frameworks, GPU systems |
| Academic-industry collaboration | Applied research partnerships and technology transfer | Sponsored research, joint labs, internships, commercialization channels | Partnership programs, grant support services, innovation scouting |
Lead Quality Assessment
| Factor | Assessment | Explanation |
|---|---|---|
| Buyer relevance | High | Strong fit for robotics, AI, machine vision, research tooling, and automation vendors |
| Decision-maker availability | Medium | Influential technical decision-makers are likely present, but formal procurement leads may be less visible than at commercial expos |
| Data collection potential | Medium-Low | Public attendee-company transparency is limited in the source reviewed |
| Apollo targeting potential | High | Event themes map well to research, higher education, software, automation, and engineering account filters |
| Geographic targeting potential | High | Jiangsu, Yangtze River Delta, and China-wide technical accounts are logical focus zones |
| Best outreach approach | High | Use speaker/committee-based outreach, author targeting, academic-lab account mapping, and technical partnership messaging |
| Overall lead quality | High | High-value specialist audience, but best for precision B2B prospecting rather than bulk attendee-list sales |
| Best use case | High | Technical lead generation, research partnerships, pilot program outreach, and innovation ecosystem mapping |
| Limitations / risks | Medium | Limited public buyer list, uncertain attendance scale, and possible academic-heavy mix reduce certainty for commercial conversion without targeted qualification |
Apollo.io Targeting Recommendation
| Filter Type | Recommended Filters | Purpose |
|---|---|---|
| Apollo industries | Research; Higher Education; Information Technology & Services; Computer Software; Industrial Automation; Mechanical or Industrial Engineering; Electrical/Electronic Manufacturing; Machinery; Computer Hardware; Government Administration | Maps to likely attendee and buyer-side account types |
| Departments | Engineering; Research; Information Technology; Operations; Procurement; Business Development | Captures technical evaluators and institutional buyers |
| Seniority | CXO; VP; Director; Head; Manager; Owner; Partner; Senior | Prioritizes purchasing influence and research leadership |
| Job titles | Professor, Principal Investigator, Lab Director, Research Director, R&D Director, Engineering Manager, Robotics Engineer, Computer Vision Scientist, AI Scientist, Procurement Manager, Partnerships Director, Business Development Director | Pinpoints relevant technical and commercial contacts |
| Geography | China; Jiangsu Province; Shanghai; Zhejiang; Yangtze River Delta; selected global research institutions if international outreach is desired | Aligns with likely attendance origin and practical outreach zones |
| Employee size | 11–50; 51–200; 201–500; 501–1,000; 1,001–5,000; 5,001+ | Covers startups, growth-stage robotics firms, and major institutions |
| Keywords | robotics, computer vision, machine vision, robot perception, image analysis, autonomous systems, sensor fusion, microrobotics, automation, AI, deep learning, vision systems | Improves relevance within broad industry groupings |
| Technologies | Use where available for AI/ML, computer vision, robotics software, edge computing, simulation, industrial automation | Refines high-intent technical accounts |
| Revenue range | Optional; prioritize mid-market to enterprise for commercial deployments, and leave open for academic institutions | Useful for separating enterprise buyers from research-only accounts |
| Company type | Private; Public; Educational; Government | Supports both commercialization and institutional procurement outreach |
Suggested Apollo Search Logic: ("robotics" OR "computer vision" OR "machine vision" OR "robot perception" OR "sensor fusion" OR "autonomous systems" OR "image analysis") AND (Professor OR "Lab Director" OR "Research Director" OR "R&D Director" OR "Engineering Manager" OR "Computer Vision Scientist" OR "Robotics Engineer") AND (China OR Jiangsu OR Shanghai OR Zhejiang).
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Sources & Verification Notes
| Source | Type | What It Verified | Reliability |
|---|---|---|---|
| ICRCV 2026 Official Website | Official event website | Conference title, dates, city, country, co-sponsors, subject scope, venue name, venue address, and program format references | High |
| ICRCV 2026 Venue Section | Official venue page content within event website | Venue: Nanjing University of Science and Technology, Jiangyin Campus; address: No. 8, Fuxing Road, Jiangyin City, Jiangsu Province, China | High |
| ICRCV 2026 Important Dates Section | Official event timeline | Submission deadline, notification date, and registration deadline for the 2026 edition | High |
| Research note | Analyst verification note | No verified attendee count, exhibitor count, or current-year buyer organization list was publicly confirmed in the supplied official source text reviewed for this report | High transparency / low numeric completeness |
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