OpenBionics | NTUA – Anthropomorphic, Light-Weight, Affordable Prosthetic Hands

Year: 2015 Groups: OpenBionics, NTUA Hand Type: Robot Hand Weight: < 300 gr Cost: < 200$ Maximum Fingertip Force: 8 N Time of Closure (from fully closed to fully open): < 1 s Total fingers: 5 Compliant fingers: yes Type of motors: Servo Motor Underactuation: yes Tendons: yes Anthropomorphism: yes Sensory System: no Number of[…]

OpenBionics | NTUA – Affordable, Modular, Light-Weight, Underactuated Robot Hands

Year: 2014 Groups: OpenBionics, NTUA Hand Type: Robot Hand Weight: < 200 gr Cost: < 100$ Maximum Fingertip Force: 18 N Time of Closure (from fully closed to fully open): < 1 s Total fingers: 2-4 depending on the version Compliant fingers: yes Type of motors: Servo Motor Underactuation: yes Tendons: yes Anthropomorphism: no Sensory[…]

Navigation Functions Learning from Experiments: Application to Anthropomorphic Grasping

Ioannis Filippidis, Kostas Kyriakopoulos and Panagiotis Artemiadis, “Navigation Functions Learning from Experiments: Application to Anthropomorphic Grasping,” IEEE International Conference on Robotics and Automation (ICRA), pp. 570-575, 2012. [PDF] [External Link] Abstract: This paper proposes a method to construct Navigation Functions (NF) from experimental trajectories in an unknown environment. We want to approximate an unknown obstacle[…]

Relating Postural Synergies to Low-D Muscular Activations: Towards Bio-inspired Control of Robotic Hands

Pantelis Katsiaris, Panagiotis Artemiadis and Kostas Kyriakopoulos, “Relating Postural Synergies to Low-D Muscular Activations: Towards Bio-inspired Control of Robotic Hands,” IEEE International Conference on BioInformatics and BioEngineering, Larnaca, Cyprus, 2012. [PDF] [External Link] Abstract: Studying human motor control has received increased attention during the past decades. Both the design and control of robotic artifacts may[…]

NTUA Dataset (May 2010)

Dataset Name: NTUA Dataset (May 2010) Research Group: NTUA Hand Type: Human Hand Data Type: Human Motion Data, Human Postures Data Structure: Joint Angles (deg) Data Format: .txt Sampling Rate: >=100 Hz (100 Hz) Action Type: Reach and Grasp, Static Grasps Objects Type: Real Objects Kin. Model #DOFs: >15 & Cyberglove II # of Actions: