A review on sensory perception for dexterous robotic manipulation
Sensory perception for dexterous robotic hands is an active research area and recent
progress in robotics. Effective dexterous manipulation requires robotic hands to accurately …
progress in robotics. Effective dexterous manipulation requires robotic hands to accurately …
Learning physical characteristics like animals for legged robots
Physical characteristics of terrains, such as softness and friction, provide essential
information for legged robots to avoid non-geometric obstacles, like mires and slippery …
information for legged robots to avoid non-geometric obstacles, like mires and slippery …
Pressing and rubbing: physics-informed features facilitate haptic terrain classification for legged robots
Non-geometric hazards like sinkage and slipping, correlated to terrain categories, have an
apparent effect on the locomotion of legged robots. Tactile-based terrain classification is a …
apparent effect on the locomotion of legged robots. Tactile-based terrain classification is a …
Thermal spread functions (tsf): Physics-guided material classification
A Dashpute, V Saragadam… - Proceedings of the …, 2023 - openaccess.thecvf.com
Robust and non-destructive material classification is a challenging but crucial first-step in
numerous vision applications. We propose a physics-guided material classification …
numerous vision applications. We propose a physics-guided material classification …
Navigating by touch: haptic Monte Carlo localization via geometric sensing and terrain classification
Legged robot navigation in extreme environments can hinder the use of cameras and lidar
due to darkness, air obfuscation or sensor damage, whereas proprioceptive sensing will …
due to darkness, air obfuscation or sensor damage, whereas proprioceptive sensing will …
Haptr2: Improved haptic transformer for legged robots' terrain classification
The haptic terrain classification is an essential component of a mobile walking robot control
system, ensuring proper gait adaptation to the changing environmental conditions. In …
system, ensuring proper gait adaptation to the changing environmental conditions. In …
[HTML][HTML] Material classification via embedded rf antenna array and machine learning for intelligent mobile robots
In this work, we present a novel design for an embedded Radio Frequency (RF) antenna
array that can distinguish various materials by analyzing changes in Received Signal …
array that can distinguish various materials by analyzing changes in Received Signal …
Multimodal unknown surface material classification and its application to physical reasoning
Unknown surface material classification (SMC) can inform a robot about material properties,
enabling it to interact with environments appropriately. Recent research has leveraged …
enabling it to interact with environments appropriately. Recent research has leveraged …
Fast haptic terrain classification for legged robots using transformer
The haptic terrain classification is an essential component of a mobile walking robot control
system, ensuring proper gait adaptation to the changing environmental conditions. In this …
system, ensuring proper gait adaptation to the changing environmental conditions. In this …
Semi-supervised gated recurrent neural networks for robotic terrain classification
Legged robots are popular candidates for missions in challenging terrains due to their
versatile locomotion strategies. Terrain classification is a key enabling technology for …
versatile locomotion strategies. Terrain classification is a key enabling technology for …