DA-VIL: Adaptive Dual-Arm Manipulation with Reinforcement Learning and Variable Impedance Control
Dual-arm manipulation is an area of growing interest in the robotics community. Enabling
robots to perform tasks that require the coordinated use of two arms, is essential for complex …
robots to perform tasks that require the coordinated use of two arms, is essential for complex …
Survey on Recent Advances in Planning and Control for Collaborative Robotics
Collaborative robots (COBOTs) can efficiently assist humans in interactions with robots and
the environment when carrying out different tasks. They take advantage of the flexibility and …
the environment when carrying out different tasks. They take advantage of the flexibility and …
Robotic Motion Planning Based on Deep Reinforcement Learning and Artificial Neural Networks
Although robotic trajectory generation problem has been extensively investigated, existing
solutions are almost customized to specific robot geometry, and generalized schemes are …
solutions are almost customized to specific robot geometry, and generalized schemes are …
Variation-Robust Few-Shot 3D Affordance Segmentation for Robotic Manipulation
Traditional affordance segmentation on 3D point cloud objects requires massive amounts of
annotated training data and can only make predictions within predefined classes and …
annotated training data and can only make predictions within predefined classes and …
AsymDex: Leveraging Asymmetry and Relative Motion in Learning Bimanual Dexterity
We present Asymmetric Dexterity (AsymDex), a novel reinforcement learning (RL)
framework that can efficiently learn asymmetric bimanual skills for multi-fingered hands …
framework that can efficiently learn asymmetric bimanual skills for multi-fingered hands …
A Learning System for Deformable Object Cooperative Manipulation
Dynamic motion primitives (DMPs) have been widely used in robotics and automation
systems because of their rapid deployment capability. Previous research has concentrated …
systems because of their rapid deployment capability. Previous research has concentrated …
Learning Dual-Arm Push and Grasp Synergy in Dense Clutter
Robotic grasping in densely cluttered environments is challenging due to scarce collision-
free grasp affordances. Non-prehensile actions can increase feasible grasps in cluttered …
free grasp affordances. Non-prehensile actions can increase feasible grasps in cluttered …
Distributed Motion Control of Multiple Mobile Manipulator System with Disturbance and Communication Delay
In real-world object manipulation scenarios, multiple mobile manipulator systems may suffer
from disturbances and asynchrony, leading to excessive interaction forces and causing …
from disturbances and asynchrony, leading to excessive interaction forces and causing …
Enhancing Motion Planning Efficiency in Dynamic Environments Through Advanced Algorithms for Mobile Robots
NÜ Akmandor - 2024 - search.proquest.com
Robots are on the verge of becoming integral components of our domestic environments as
personal assistants. Although their present functions are confined to specific tasks within …
personal assistants. Although their present functions are confined to specific tasks within …
디지털농업을위한양팔농업용로봇의기술개발동향및적용분야
조유성, 박용현, 김창조, 손형일 - 제어로봇시스템학회지, 2024 - dbpia.co.kr
이 논문에서 디지털 농업을 위한 양팔 농업용 로봇의 기술 동향과 적용 분야를 문헌 검토한다.
양팔 로봇 시스템은 비정형적인 농업 환경에서 인간의 양팔 협동 동작을 모방하여 복잡한 …
양팔 로봇 시스템은 비정형적인 농업 환경에서 인간의 양팔 협동 동작을 모방하여 복잡한 …