Advanced Sensors for Intelligent Robotic Systems: Vision, Touch, and Dexterous Manipulation
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensors and Robotics".
Deadline for manuscript submissions: 31 October 2025 | Viewed by 81
Special Issue Editors
Interests: cable-driven flexible robotic arm; visual–tactile sensors; multimodal perception and manipulation; robotic dexterous hand
Interests: intelligent robots; including dynamics and control; teleoperation; deep reinforcement learning; fault diagnosis
Interests: artificial intelligence; biomedical engineering (BME); motion control and manufacturing; robotics; sensors
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The rapid development of sensors ( vision, tactile sensing, etc.) is revolutionizing embodied intelligence in robotics, particularly in achieving human-level dexterous manipulation. For example, vision provides essential spatial cognition, while tactile sensing offers physical interaction intelligence that is fundamentally inaccessible to optical systems. In addition, recent breakthroughs in the AI-driven multimodal fusion of advanced sensors are overcoming longstanding challenges in adaptive grasping, deformable object manipulation, and real-time interaction with dynamic environments.
This Special Issue seeks research investigating transformative sensing technologies that bridge the perception–action gap, with emphasis on vision–touch co-design frameworks and their applications in closed-loop manipulation. We welcome contributions spanning from fundamental sensor innovations to applications in medical robotics, industrial automation, and collaborative robots. Priority will be given to solutions demonstrating both theoretical advancement and practical validation, including the following：
- Tactile sensing technologies and applications;
- Advanced sensor design and perception methods;
- Sensor fusion for tactile and visual feedback;
- Tactile sensors in dexterous manipulation;
- Advances in perception and control technologies for robotic systems;
- Sensor fusion in healthcare, service, and industrial robotics;
- AI and LLM in sensor fusion;
- Multi-modal sensor fusion for grasping and manipulation.
Dr. Chongkun Xia
Prof. Dr. Xueqian Wang
Dr. Yajing Shen
Guest Editors
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Keywords
- intelligent robotics
- robotic sensing
- sensor fusion
- AI manipulation
- grasping control
- visual sensing
- tactile sensing
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