Arrow Research search
Back to IROS

IROS 2017

Handshakiness: Benchmarking for human-robot hand interactions

Conference Paper Accepted Paper Artificial Intelligence · Robotics

Abstract

Handshakes are common greetings, and humans therefore have strong priors of what a handshake should feel like. This makes it challenging to create compelling and realistic human-robot handshakes, necessitating the consideration of human haptic perception in the design of robot hands. At its most basic level, haptic perception is encoded by contact points and contact pressure distributions on the skin. This motivates our work on measuring the contact area and contact pressure in human handshaking interactions. We present two benchmarking experiments in this regard, measuring the contact locations in human-human/human-robot handshaking and the contact pressure distribution for handshakes with a sensorized palm. We present results from human studies with the benchmarking experiments, providing a baseline for comparison with robot hands as well as presenting new insights into human handshaking. We also show initial work in using these results for the evaluation of robot hands, and progressing towards iterative design of robot hands optimized for social hand interactions.

Authors

Keywords

  • Robot sensing systems
  • Area measurement
  • Grasping
  • Pressure measurement
  • Paints
  • Human Studies
  • Social Interaction
  • Human Interaction
  • Pressure Distribution
  • Tactile Sensor
  • Local Contact
  • Robotic Hand
  • Benchmark Experiments
  • High Pressure
  • Physical Interaction
  • High Spatial Resolution
  • Sharp Peak
  • User Study
  • Design Space
  • Peak Force
  • Contact Force
  • Peak Pressure
  • Human-robot Interaction
  • Soft Robots
  • Human Hand
  • Hand Size
  • Back Of The Hand
  • Female Size
  • Common Interactions
  • Human-human Interaction
  • Hand Contact
  • Participant's Hand

Context

Venue
IEEE/RSJ International Conference on Intelligent Robots and Systems
Archive span
1988-2025
Indexed papers
26578
Paper id
1141197694395574798
v2026.09.13