2026 International Conference on Control, Robotics Engineering and Technology (CRET 2026)
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About this event
Event Description: 2026 International Conference on Control, Robotics Engineering and Technology (CRET 2026)
The 2026 International Conference on Control, Robotics Engineering and Technology (CRET 2026) is a premier international forum dedicated to advancing research, innovation, and collaboration in the fields of control systems, robotics engineering, and enabling technologies. Scheduled to take place from September 24th to 26th, 2026, in the vibrant coastal city of Kristiansand, Norway, this conference brings together leading researchers, engineers, and practitioners from both academia and industry.
Event Overview
CRET 2026 will feature a comprehensive program including plenary talks by internationally renowned experts, interactive workshops, and oral presentations. The conference aims to explore a broad spectrum of topics such as advanced control systems, robotic perception and manipulation, autonomous systems, AI in robotics, human-robot interaction, and many others. The event fosters original contributions, pioneering ideas, and novel perspectives that push the boundaries of control and robotics technology.
Key Highlights
- Dates: September 24th to 26th, 2026
- Venue: Kristiansand, Norway
- Focus Areas: Control Systems, Robotics Engineering, Industrial Automation, Smart Manufacturing, AI in Robotics, Human-Robot Interaction, and more.
- Target Audience: Researchers, Engineers, Practitioners, Academics, and Industry Professionals.
Conference Topics
The conference will cover a wide range of topics, including but not limited to:
- Control Systems and Automation
- Control Theory and Algorithms
- Industrial Automation and Smart Manufacturing
- Embedded Systems and Real-Time Control
- Intelligent Control System Applications
- Robotics Technology and Intelligent Systems
- Robot Perception and Navigation
- Robot Motion Control and Dynamics
- Bionic and Humanoid Robots
- Human-Robot Interaction and Collaboration
- Artificial Intelligence and Machine Learning in Control and Robotics
- Deep Learning and Reinforcement Learning
Important Dates
- Submission Deadline: July 15th, 2026
- Notification of Acceptance: August 10th, 2026
- Registration Deadline: August 25th, 2026
Submission Guidelines
Manuscripts should be prepared using the provided MS-Word or LaTeX templates and submitted in PDF format via the Electronic Submission System. Contributions can be full papers (4-8 pages) or abstracts. All submissions will undergo a thorough review process based on technical quality, relevance, originality, significance, and clarity. Accepted full papers will be published in the CRET 2026 Conference Proceedings, archived in IEEE Xplore, and indexed by EI Compendex, Scopus, and other services.
Plagiarism Policy
All submitted papers must present original, unpublished research not under review elsewhere. A similarity check using CrossCheck will be conducted, with a maximum allowed similarity rate of 20% overall and 3% to a single source.
Data sheet
2026 International Conference on Control, Robotics Engineering and Technology (CRET 2026) – Event Attendee & Buyer Profile Analysis
Event date: September 24–26, 2026
Location: Kristiansand, Norway
Event status: Upcoming
Research date: June 29, 2026
Event Overview
| Event Name | 2026 International Conference on Control, Robotics Engineering and Technology (CRET 2026) |
| Event Date | September 24–26, 2026 |
| Event Status | Upcoming |
| Venue | Specific venue not publicly confirmed in the official website content reviewed. |
| City | Kristiansand |
| State / Region | Agder |
| Country | Norway |
| Organizer | CRET 2026 Organizing Committee / conference organizer not otherwise publicly identified in the reviewed official homepage content. |
| Official Event Website | cret.net |
| Event Type | International academic and industry research conference |
| Primary Category | Industrial Engineering |
| Secondary Applicable Categories | IT & Technology; Science & Research |
| Audience Reach | International / global research and engineering audience, based on official positioning as an international conference |
| Estimated Attendance / Expected Footfall | Attendance figure not publicly confirmed by the organizer. |
| Attendance Data Reliability | Low for numerical attendance; high for dates, city, country, topic scope, and conference format due to official website confirmation |
| Main Purpose of Event | To present peer-reviewed research, technical papers, tutorials, workshops, and industry-oriented discussions across control systems, robotics engineering, automation, intelligent systems, AI in robotics, and related enabling technologies. |
About the Event
CRET 2026 is positioned by its official website as an international forum for research exchange and cross-sector collaboration in control engineering, robotics engineering, and enabling technologies. The published program format includes plenary talks, tutorials, technical presentations of peer-reviewed regular and industrial papers, special sessions, workshops, and exhibits, indicating a conference model that blends academic publishing value with practical engineering application.
From a business development perspective, the event is most relevant for organizations targeting research-led innovation, industrial automation, robotics systems, embedded control, AI-enabled robotics, and university-industry collaboration. It appears better suited for technical partnership development, R&D outreach, recruitment, and long-cycle enterprise conversations than for high-volume transactional lead capture. For B2B attendee list building, it is potentially useful but should be treated as a specialist engineering audience rather than a broad commercial buying event.
1. Who Attends: Buyers / Attendees
| Buyer / Attendee Segment | Typical Organizations | Buying Role or Influence | Relevance to Exhibitors / Suppliers |
|---|---|---|---|
| University researchers and principal investigators | Universities, research labs, engineering faculties | Influence lab equipment, software, simulation, sensors, robotics platforms, and research partnerships | High for technical vendors selling to labs, robotics development teams, and grant-funded projects |
| Industrial R&D engineers | Robotics firms, automation OEMs, advanced manufacturing companies | Evaluate components, control architectures, AI models, embedded systems, and pilot technologies | High for suppliers of robotics, control software, industrial automation, and testing systems |
| Automation and smart manufacturing specialists | Factories, industrial integrators, process engineering teams | Assess deployment feasibility, system integration, production optimization, and controls modernization | Strong fit for industrial automation vendors, PLC/control providers, and digital manufacturing platforms |
| Robotics product and systems engineers | Robot developers, autonomous systems teams, intelligent systems companies | Shape technical specification, prototype validation, and component selection | High for sensing, actuation, navigation, HRI, and AI tooling suppliers |
| Technical program and innovation leaders | Corporate innovation teams, applied research centers, engineering business units | Influence budget prioritization, partnership selection, and proof-of-concept activity | Useful for strategic solution selling and long-cycle account development |
| Graduate researchers and doctoral candidates | Academic institutions and associated labs | Influence tool adoption, evaluation projects, and future buyer preference | Medium for near-term revenue; high for ecosystem penetration and future account mapping |
| Conference sponsors and technical solution providers | Engineering software, lab equipment, robotics hardware, control technology vendors | Both buyers and sellers depending on partnership or channel needs | Relevant for co-marketing, channel development, and technology partnerships |
2. Event Location and Attendee Geographic Origin
| Geographic Area | Likely Attendee Origin | Buyer Concentration | Notes |
|---|---|---|---|
| Kristiansand | Local academic, engineering, and innovation participants | Low to Medium | Host-city participation is likely, but not publicly quantified. |
| Agder / Southern Norway | Regional universities, engineering firms, technology teams | Medium | Reasonable regional draw due to in-country location and technical relevance. |
| Norway major hubs | Oslo, Stavanger, Bergen, Trondheim engineering and research communities | Medium to High | Likely national attendance due to the event’s international research positioning. |
| Nordic region | Sweden, Denmark, Finland, Iceland research and industrial automation communities | Medium | Likely cross-border attendance, especially from nearby academic and industrial clusters. |
| Europe | Researchers, automation vendors, robotics specialists, doctoral attendees | High | International paper submission format and publication/indexing claims support likely broader European reach. |
| Global | International authors, speakers, and research collaborators | Medium | Officially described as an international conference; exact country mix not yet published. |
3. Audience Reach
| Reach Level | Assessment | Explanation |
|---|---|---|
| Global | Primary classification | The conference is explicitly positioned as an international forum and supports peer-reviewed submissions, workshops, tutorials, and proceedings visibility, which typically attracts multinational academic and engineering audiences. |
| Secondary reach description | European and Nordic concentration likely | Host location in Norway and conference theme suggest stronger concentration from Europe and the Nordic region, although no attendee country list is currently public. |
4. Sample Buyer Companies and Websites
| Buyer Company / Organization | Buyer Type | Why It Is Relevant | Website | Best Job Titles to Target | Evidence Level |
|---|---|---|---|---|---|
| No official current-year attendee, sponsor, exhibitor, speaker-organization, or buyer directory publicly available as of the research date | N/A | The official website confirms conference theme, date, and location, but does not publish a verified organization list that can be responsibly represented as attending. | cret.net | R&D Director; Robotics Engineer; Professor; Lab Manager; Industrial Automation Manager | Confirmed current-year event details only; participant organizations not publicly confirmed |
5. Job Profiles, Industries and Event Type
| Priority | Job Title / Function | Department | Seniority Level | Why This Role Matters |
|---|---|---|---|---|
| 1 | Director of R&D | Research & Development | Director | Owns technical evaluation, innovation partnerships, and pilot investment decisions. |
| 2 | Engineering Manager | Engineering | Manager | Translates technical concepts into solution selection and project implementation. |
| 3 | Robotics Engineer | Engineering / Product Development | Individual Contributor / Lead | Influences hardware, software, sensing, and control-stack choices. |
| 4 | Controls Engineer | Engineering / Automation | Individual Contributor / Senior | Critical buyer influencer for control algorithms, embedded systems, and automation tools. |
| 5 | Automation Manager | Operations / Engineering | Manager | Relevant for industrial deployment and smart manufacturing adoption. |
| 6 | CTO | Executive / Technology | C-Level | Key for strategic technology direction, partnerships, and advanced systems evaluation. |
| 7 | Product Manager, Robotics / Automation | Product | Manager | Useful for component selection, roadmap alignment, and commercialization decisions. |
| 8 | Lab Manager | Research / Operations | Manager | Important for research equipment, software licenses, and testbed procurement. |
| 9 | Professor / Principal Investigator | Academic Research | Senior / Departmental | Shapes grant spending, lab standards, publication collaborations, and future procurement paths. |
| 10 | Business Development Director | Business Development / Partnerships | Director | Relevant for technology alliances, channel deals, and applied research partnerships. |
| Priority | Apollo Industry | Why It Fits the Event | Best Buyer Use Case |
|---|---|---|---|
| 1 | Industrial Automation | Direct overlap with control systems, automation, and smart manufacturing topics | Factory automation, control platforms, robotics integration |
| 2 | Mechanical or Industrial Engineering | Core engineering firms are likely participants or prospect targets | Control systems, machine design, robotics deployment |
| 3 | Electrical/Electronic Manufacturing | Relevant for sensors, embedded systems, motion control, and industrial electronics | Component sales, control hardware, device integration |
| 4 | Computer Software | AI, simulation, control algorithms, and robotics software are directly relevant | Simulation tools, robotics middleware, AI software |
| 5 | Information Technology & Services | Systems integration, digital transformation, and technical services often intersect with robotics rollouts | Integration, support, deployment, managed technical services |
| 6 | Research | The conference is heavily research-driven | Research collaboration, grant-aligned outreach, pilot projects |
| 7 | Higher Education | University labs, faculty, and academic researchers are a primary audience | Lab equipment, software licensing, research partnerships |
| 8 | Machinery | Industrial equipment companies are logical targets for advanced control and robotics | Machine optimization, robotics retrofits, controls upgrades |
| 9 | Semiconductors | Useful for embedded control, edge computing, and robotics hardware ecosystems | Embedded processors, sensor platforms, hardware partnerships |
| 10 | Automotive | Autonomous systems, control engineering, and robotics have strong automotive relevance | Autonomy, manufacturing robotics, validation systems |
| 11 | Aviation & Aerospace | Control theory, autonomy, sensing, and intelligent systems are applicable | Advanced controls, autonomy, simulation and validation |
| 12 | Computer Hardware | Relevant for edge devices, robotics computing, and sensing infrastructure | Embedded compute, GPU/accelerator hardware, robotics controllers |
6. Estimated Attendance
| Metric | Figure | Status | Source / Basis | Notes |
|---|---|---|---|---|
| Estimated total footfall | Attendance figure not publicly confirmed by the organizer. | Unconfirmed | Official homepage reviewed; no attendance metric published | No reliable numerical estimate should be stated. |
| Exhibitor count | Not publicly confirmed | Unconfirmed | Official homepage mentions exhibits but not quantity | Event appears conference-led rather than expo-led. |
| Buyer count | Not publicly confirmed | Unconfirmed | No attendee segmentation by buying authority published | Commercial buyers are likely a minority versus technical attendees. |
| Speaker count | Not publicly confirmed | Unconfirmed | Official homepage references plenary talks and keynote content | Speaker organization list not included in the reviewed content. |
| Sponsor count | Not publicly confirmed | Unconfirmed | Official navigation includes Call for Sponsors | No current sponsor list publicly verified in the provided source. |
| Historical attendance | No prior-year attendance data verified from official sources reviewed | Historical data unavailable | No official prior-edition attendance evidence supplied | Do not infer attendance from similar conferences. |
7. Key Focus Areas and Buyer Engagement
| Focus Area | Typical Buyer Need | Buyer Engagement Opportunity | Relevant Supplier Offering |
|---|---|---|---|
| Control Systems and Automation | Improve precision, stability, and efficiency in complex systems | Technical demos, algorithm discussions, automation architecture workshops | Control software, PLC tools, simulation platforms, embedded controllers |
| Industrial Automation and Smart Manufacturing | Optimize production lines and modernize manufacturing operations | Factory transformation case studies and integration conversations | Automation hardware, robotics cells, digital twins, industrial analytics |
| Embedded Systems and Real-Time Control | Reliable low-latency control and compute performance | Product engineering meetings and proof-of-concept alignment | Embedded hardware, RTOS tools, edge compute, testing systems |
| Robotics Technology and Intelligent Systems | Build smarter autonomous or semi-autonomous robots | Platform comparison, sensor evaluation, partner scouting | Robotics platforms, sensors, actuators, SDKs, navigation software |
| Robot Perception and Navigation | Improve sensing, localization, mapping, and navigation accuracy | Use-case discussions around autonomous movement and safety | Vision systems, LiDAR, SLAM software, sensor fusion tools |
| Human-Robot Interaction and Collaboration | Safer, more usable, and more productive collaborative systems | UX, safety, ergonomics, and deployment readiness conversations | Cobots, safety systems, interface software, training solutions |
| Artificial Intelligence and Machine Learning in Control and Robotics | Deploy adaptive intelligence, prediction, optimization, and autonomy | AI model validation, edge deployment, and data pipeline discussions | AI software, model training infrastructure, MLOps, inference hardware |
Lead Quality Assessment
| Factor | Assessment | Explanation |
|---|---|---|
| Buyer relevance | Medium | Strong for technical solution providers, research vendors, and industrial automation offers; weaker for non-technical B2B services. |
| Decision-maker availability | Medium | Likely access to principal investigators, engineering managers, and R&D leaders, but commercial procurement executives may be fewer. |
| Data collection potential | Low to Medium | Public current-year participant lists are not yet visible in reviewed official content, limiting verified attendee-list construction. |
| Apollo targeting potential | High | Even without confirmed attendance data, the event theme maps well to Apollo filters around robotics, automation, embedded systems, AI, and higher education research. |
| Geographic targeting potential | High | Clear targeting can be built around Norway, Nordics, Europe, and global engineering clusters. |
| Best outreach approach | High-value technical outreach | Use thought leadership, research alignment, product demos, and technical case studies instead of generic sales messaging. |
| Overall lead quality | Medium | Good for specialist technical markets and partnership pipelines; less suitable for mass-market lead generation. |
| Best use case | Technical ABM and R&D partnership targeting | Best applied to robotics, controls, sensing, embedded, AI, and industrial engineering accounts. |
| Limitations / risks | Medium | Lack of verified attendee organizations and attendance figures limits event-specific certainty; conference may skew academic rather than procurement-heavy. |
Apollo.io Targeting Recommendation
| Filter Type | Recommended Filters | Purpose |
|---|---|---|
| Apollo industries | Industrial Automation; Mechanical or Industrial Engineering; Electrical/Electronic Manufacturing; Computer Software; Information Technology & Services; Research; Higher Education; Machinery; Semiconductors; Automotive; Aviation & Aerospace; Computer Hardware | Align targeting with the event’s technical subject matter |
| Departments | Engineering; Research; Product; Operations; Information Technology; Business Development | Focus on technical and innovation-led buying influence |
| Seniority | C-Level; VP; Director; Head; Manager; Senior; Owner for specialist firms | Prioritize strategic decision-makers and technical approvers |
| Job titles | CTO; Director of R&D; Engineering Manager; Robotics Engineer; Controls Engineer; Automation Manager; Product Manager Robotics; Embedded Systems Engineer; Lab Manager; Professor; Principal Investigator; Business Development Director | Map to likely attendee and buyer-influence roles |
| Geography | Norway; Sweden; Denmark; Finland; Germany; Netherlands; United Kingdom; France; broader Europe; North America; East Asia for advanced robotics ecosystems | Reflect likely international engineering audience |
| Employee size | 11–50; 51–200; 201–500; 501–1,000; 1,001–5,000; 5,001+ | Cover both research-intensive SMEs and larger industrial enterprises |
| Keywords | robotics, control systems, automation, autonomous systems, smart manufacturing, embedded systems, real-time control, robot perception, navigation, machine learning, reinforcement learning, human-robot interaction, industrial AI | Improve title and company-level thematic matching |
| Technologies, if relevant | Industrial IoT, edge computing, machine vision, PLC, SCADA, simulation, AI/ML infrastructure, robotics middleware | Useful for account-based segmentation where Apollo enrichment supports it |
| Revenue range, if relevant | Mid-market to enterprise for industrial vendors; flexible for universities and research institutes | Balance strategic accounts with specialist technical buyers |
| Company type | Private companies; public companies; universities; research institutes; technical centers | Reflect the mixed academia-industry composition of the event |
Suggested Apollo Search Logic: ("robotics" OR "control systems" OR automation OR "autonomous systems" OR "smart manufacturing" OR "embedded systems" OR "robot perception" OR "human-robot interaction" OR "industrial AI") AND (CTO OR "Director of R&D" OR "Engineering Manager" OR "Robotics Engineer" OR "Controls Engineer" OR "Automation Manager" OR "Product Manager" OR "Lab Manager" OR Professor OR "Principal Investigator").
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Sources & Verification Notes
| Source | Type | What It Verified | Reliability |
|---|---|---|---|
| CRET 2026 Official Website | Official event website | Event name, date, city, country, international positioning, program format, topic scope, submission timeline, and publication claims | High |
| CRET 2026 Homepage - Important Dates and Conference Topics | Official event page content | Conference focus areas including control systems, industrial automation, robotics, embedded systems, AI, and human-robot interaction | High |
| Research limitation note | Verification note | No verified current-year attendee directory, speaker organization list, exhibitor list, sponsor list, venue name, or attendance count was publicly confirmed in the reviewed official content | High confidence in limitation statement |
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Tell us your work email and our AI instantly builds a buyer list matched to 2026 International Conference on Control, Robotics Engineering and Technology (CRET 2026) — the best‑fit companies to target, the exact decision‑maker job titles, and the industry filters that fit what you sell.
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