☆ 4.7 Article

Robotic architectural assembly with tactile skills: Simulation and optimization

AUTOMATION IN CONSTRUCTION (2022)

Robotic assembly of timber joints using reinforcement learning

Aleksandra Anna Apolinarska et al.

Summary: This paper introduces the application of Reinforcement Learning in controlling robot movements for assembly tasks in architectural construction, with a successful demonstration in timber structure assembly. The control policy is trained in simulation to address uncertainties in reality and customization requirements for differentiated designs.

AUTOMATION IN CONSTRUCTION (2021)

添加到收藏夹

Article Robotics

Generation of GelSight Tactile Images for Sim2Real Learning

Daniel Fernandes Gomes et al.

Summary: Current research on Sim2Real learning for robotic manipulation tasks faces limitations due to occlusions of vision by robot hands during manipulation. To address this gap, researchers have introduced a novel approach for simulating a GelSight tactile sensor in the Gazebo simulator. Experimental results have shown that the simulated sensor can generate realistic outputs similar to those captured by a real GelSight sensor.

IEEE ROBOTICS AND AUTOMATION LETTERS (2021)

添加到收藏夹

Article Robotics