Shadow Robot Research

Research

• DMFC-GraspNet: Differentiable Multi-Fingered Robotic Grasp Generation in Cluttered Scenes - 2023-08-01 - Research Publication - The paper proposes a dense multi-finger grasp-generation network and evaluates it with the Shadow Dexterous Hand in MuJoCo simulation. The evaluation models Shadow Dexterous Hand in simulation, with the platform supplied… - source: arxiv.org
• PoseFusion: Robust Object-in-Hand Pose Estimation with SelectLSTM - 2023-04-10 - Research Publication - The paper introduces a 6D object-in-hand pose dataset collected through teleoperation with a Shadow Dexterous Hand. The study’s named evaluation platform is Shadow Dexterous Hand from Shadow Robot. - source: arxiv.org
• A Multi-Agent Approach for Adaptive Finger Cooperation in Learning-based In-Hand Manipulation - 2022-10-11 - Research Publication - The paper evaluates multi-agent reinforcement learning for in-hand manipulation tasks on the Shadow Dexterous Hand. The study’s named evaluation platform is Shadow Dexterous Hand from Shadow Robot. - source: arxiv.org
• OpenAI trains robotic hand to solve a Rubik's Cube with Automatic Domain Randomization - 2019-10-15 - Research Publication - OpenAI trained neural networks to solve a Rubik's Cube with a human-like robotic hand using reinforcement learning in simulation. The project introduced Automatic Domain Randomization to create progressively harder… - source: openai.com
• Vision-based Teleoperation of Shadow Dexterous Hand using End-to-End Deep Neural Network - 2018-09-17 - Research Publication - TeachNet generates robot joint angles directly from human-hand depth images and uses a consistency loss to bridge anatomical and visual differences between human and robotic hands. Training uses 400,000 paired human and… - source: arxiv.org
• Learning Dexterous In-Hand Manipulation - 2018-08-01 - Research Publication - The policies learn vision-based object reorientation entirely in simulation while randomizing physical properties such as friction and object appearance. The trained policies transfer to a physical Shadow Dexterous Hand… - source: arxiv.org
• Multi-goal RL benchmark paper includes in-hand manipulation with Shadow Dexterous Hand - 2018-02-26 - Research Publication - The report introduces OpenAI Gym continuous-control environments based on existing robotics hardware, including Fetch arm tasks and in-hand manipulation with a Shadow Dexterous Hand. The Shadow hand environment uses sparse… - source: doi.org