Robotic Grasping and Learning from Demonstration (Q167443): Difference between revisions

From geokb
(‎Changed label, description and/or aliases in en, and other parts: removed Deep Learning from aliases; added Q169133 to addresses subject)
(‎Changed label, description and/or aliases in en, and other parts: modified description with assistance from Llama 3.1)
description / endescription / en
This cluster of papers focuses on robotic grasping, learning from demonstration, deep learning for object pose estimation, human-robot collaboration, and sensor-based robot systems
"Research on robots learning to grasp and interact with objects through human guidance and sensor feedback."

Revision as of 13:43, 30 August 2024

"Research on robots learning to grasp and interact with objects through human guidance and sensor feedback."
  • Robot Learning
  • Grasping
  • Human-Robot Collaboration
  • Object Pose Estimation
  • Dynamical Movement Primitives
  • Impedance Control
  • 3D Object Recognition
  • Sensor-Based Robot Systems
  • Safe Human-Robot Interaction
Language Label Description Also known as
English
Robotic Grasping and Learning from Demonstration
"Research on robots learning to grasp and interact with objects through human guidance and sensor feedback."
  • Robot Learning
  • Grasping
  • Human-Robot Collaboration
  • Object Pose Estimation
  • Dynamical Movement Primitives
  • Impedance Control
  • 3D Object Recognition
  • Sensor-Based Robot Systems
  • Safe Human-Robot Interaction

Statements