orcahand Context
Market context
ORCAHand is an open-source anthropomorphic robotic hand designed for dexterous manipulation research and task learning.
- Target environment: Robotics labs, manipulation research environments and robot-learning testbeds.
- Workflow context: Dexterous grasping, teleoperation, imitation learning, reinforcement learning and manipulation benchmarking.
- Deployment model: Research hand platform integrated with robotic arms and teleoperation or learning systems.
- Commercial maturity: Research platform with open-source design files, code and documentation released through the ORCA project.
- Adoption constraints: Requires hand assembly or integration, arm mounting, control software and manipulation policy development.
- Market position: Accessible dexterous hand platform focused on reliability, low material cost and rapid assembly for research teams.
- Adjacent products: Robotic end effector for dexterous manipulation, tactile sensing and robot-learning experiments.
Workflow
Dexterous grasping, teleoperation, imitation learning, reinforcement learning and manipulation benchmarking.
Deployment environment
Robotics labs, manipulation research environments and robot-learning testbeds.
Specifications
- actuation and motion control: Tendon-driven
- Tactile Sensing: Integrated tactile sensors
- Assembly Time: Fully assembled in less than eight hours
- Materials Cost: material cost below 2,000 CHF
- Developer Support: Open-source design for research-community use
- Manipulation: Anthropomorphic dexterous hand for basic manipulation research
- Hand Dof: 17
Tags
- Peer Group: Robot hands, Dexterous robotic hand, Robot hand components
- Workflow: End-effector manipulation, Dexterous grasping
- Capability: Robotic grasping, Force control, Dexterous manipulation
- Deployment Environment: Research lab
- Stack Layer: Robot end-effector, Manipulation stack
- Commercial Stage: Research platform
- Market Signal: Supply-chain enabler
View orcahand overview