IMROBOVISION2027
Barcelona, Spain May 03-05, 2027
Early Bird Registration November 21, 2026
About Conference
3rd Edition Of Inscitech Meet on Robotics, Control and Vision Engineering
The
3rd Edition of InSciTech Meet on Robotics, Control and Vision Engineering
(IMROBOVISION2027) will take place from May 3–5, 2027, in Barcelona,
Spain, bringing together a global community of researchers, academicians,
engineers, scientists, technology professionals, industry leaders, innovators,
and experts working across robotics, control, automation, and vision
engineering.
IMROBOVISION2027 is designed as an international
platform for exchanging knowledge, presenting emerging research, and exploring
innovative solutions shaping the future of intelligent and autonomous
technologies. The conference will focus on the integration of robotics, advanced
control systems, computer vision, artificial intelligence, machine learning,
and automation to address complex challenges across research, industry, and
society.
The
scientific program of IMROBOVISION2027 will provide opportunities to
explore recent advances in intelligent robotics, autonomous systems, robotic
perception, motion planning, industrial automation, vision-based control,
human–robot interaction, smart manufacturing, and next-generation control
technologies. Keynote presentations, scientific sessions, technical
discussions, panel sessions, and interactive networking activities will
encourage meaningful dialogue and collaboration among participants from diverse
disciplines.
With
robotics and intelligent automation rapidly transforming sectors such as healthcare,
automotive, aerospace, logistics, agriculture, manufacturing, and industrial
production, IMROBOVISION2027 will highlight technologies that are
enabling greater efficiency, precision, adaptability, and autonomy. The
conference will also examine the role of computer vision and AI-driven
decision-making in developing robotic systems capable of operating effectively
in dynamic and complex environments.
The
conference will create a collaborative environment where participants can
present their research, discover emerging technologies, establish professional
connections, and identify opportunities for future partnerships. IMROBOVISION2027
welcomes original research contributions, innovative technologies, practical
applications, and interdisciplinary perspectives that can contribute to the
advancement of robotics, control, and vision engineering.
Warm regards,
The Organizing CommitteeImportant Dates
Conference Updates
- Conference Dates May 03-05, 2027
- Early Bird Registration November 21, 2026
- Abstract Submission Deadline November 20, 2026
- Conference Venue Barcelona, Spain
Collaborations and Event Updates
Scientific Sessions
- Robotics and Intelligent Systems
- Industrial Robotics and Automation
- Computer Vision and Image Processing
- Artificial Intelligence and Machine Learning in Robotics
- Medical Robotics and Healthcare Applications
- Drone Technology and Unmanned Aerial Systems (UAS)
- Sensors, Actuators, and Embedded Systems
- Digital Twins and Cyber-Physical Systems
- Internet of Things (IoT) and Robotic Networks
- Robotics in Agriculture and Environmental Monitoring
- Signal Processing for Vision and Control Systems
- Intelligent Navigation and Localization
- Soft Robotics and Bio-Inspired Robotics
- Edge Computing and Cloud Robotics
- Advanced Manufacturing and Additive Manufacturing Robotics
- Autonomous Robots and Mobile Robotics
- Control Systems and Control Engineering
- Machine Vision and Vision-Based Robotics
- Human–Robot Interaction and Collaboration
- Autonomous Vehicles and Intelligent Transportation Systems
- Robotic Manipulation and Motion Planning
- Mechatronics and Smart Manufacturing
- Intelligent Automation and Industry 4.0
- Reinforcement Learning and Adaptive Control
- Robotics in Space, Marine, and Defense Applications
- Deep Learning for Computer Vision
- Robotics Safety, Security, and Ethics
- Swarm Robotics and Multi-Agent Systems
- Robotics for Smart Cities and Infrastructure
- Emerging Trends and Future Perspectives in Robotics, Control and Vision Engineering
