research
∙
01/28/2023
Towards Precise Model-free Robotic Grasping with Sim-to-Real Transfer Learning
Precise robotic grasping of several novel objects is a huge challenge in...
share
research
∙
10/16/2022
Learning 6-DoF Task-oriented Grasp Detection via Implicit Estimation and Visual Affordance
Currently, task-oriented grasp detection approaches are mostly based on ...
research
∙
08/30/2022
Sim-to-Real Transfer of Robotic Assembly with Visual Inputs Using CycleGAN and Force Control
Recently, deep reinforcement learning (RL) has shown some impressive suc...
research
∙
08/12/2022
Maximizing the Use of Environmental Constraints: A Pushing-Based Hybrid Position/Force Assembly Skill for Contact-Rich Tasks
The need for contact-rich tasks is rapidly growing in modern manufacturi...
research
∙
03/14/2022
Impedance Adaptation by Reinforcement Learning with Contact Dynamic Movement Primitives
Dynamic movement primitives (DMPs) allow complex position trajectories t...
research
∙
07/19/2021
Learning compliant grasping and manipulation by teleoperation with adaptive force control
In this work, we focus on improving the robot's dexterous capability by ...
research
∙
07/01/2021
TransSC: Transformer-based Shape Completion for Grasp Evaluation
Currently, robotic grasping methods based on sparse partial point clouds...
research
∙
03/10/2021
Combining Learning from Demonstration with Learning by Exploration to Facilitate Contact-Rich Tasks
Collaborative robots are expected to be able to work alongside humans an...
research
∙
10/25/2020
Proactive Action Visual Residual Reinforcement Learning for Contact-Rich Tasks Using a Torque-Controlled Robot
Contact-rich manipulation tasks are commonly found in modern manufacturi...
research
∙
06/01/2020