Evolution of visual controllers for obstacle avoidance in mobile robotics
Renaud Barate, Antoine Manzanera
openalex +2 more sources
A Review on Sensor Technologies, Control Approaches, and Emerging Challenges in Soft Robotics
This review provides an introspective of sensors and controllers in soft robotics. Initially describing the current sensing methods, then moving on to the control methods utilized, and finally ending with challenges and future directions in soft robotics focusing on the material innovations, sensor fusion, and embedded intelligence for sensors and ...
Ean Lovett +5 more
wiley +1 more source
Obstacle avoidance of physical, stereoscopic, and pictorial objects. [PDF]
Giesel M, Ruseva D, Hesse C.
europepmc +1 more source
1A2-G21 Obstacle Avoidance Using SOKUIKI Sensor for a Mobile Robot
Kentaro Ozawa, Takashi Tsubouchi
openalex +2 more sources
Soft Actuators Integrated with Control and Power Units: Approaching Wireless Autonomous Soft Robots
Soft robots exhibit significant development potential in various applications. However, there are still key technical challenges regarding material improvement, structure design and components integration. This review focuses on the development and challenge of soft actuators, power components, and control components in untethered intelligent soft ...
Renwu Shi, Feifei Pan, Xiaobin Ji
wiley +1 more source
Obstacle avoidance inspection method of cable tunnel for quadruped robot based on particle swarm algorithm and neural network. [PDF]
Wu J, Huang Y, Lai Y, Yang S, Zhang C.
europepmc +1 more source
Multidirectional Motion Strategy of Miniature Water Surface Robot Actuated by Single Exciter
A novel multidirectional motion strategy on the water surface based on a single exciter is proposed, and a single‐exciter single‐plate module is developed for actuation. The driving forces generation mechanism of the module is revealed from the perspective of the asymmetric surface wave field.
Haoxuan He +4 more
wiley +1 more source
End-to-end robot intelligent obstacle avoidance method based on deep reinforcement learning with spatiotemporal transformer architecture. [PDF]
Zhou Y, Zhang W.
europepmc +1 more source

