Have you noticed that computers can show beautiful images and play clear sounds, but they don't let you physically touch digital items? Similarly, most robots are surprisingly unskilled at physically interacting with the real world and with people.
Led by Katherine J. Kuchenbecker, the MPI-IS Haptic Intelligence department aims to elevate and formalize our understanding of touch cues while simultaneously discovering new opportunities for their use in interactions between humans, computers, and machines.
We leverage scientific knowledge about the sense of touch to create haptic interfaces that enable a user to interact with virtual objects and distant environments as though they were real and within reach. One key insight in this endeavor has been that tactile cues, such as high-frequency tool vibrations and the making and breaking of contact, convey rich mechanical information that is necessary to make the interaction feel real. This research led us to realize that autonomous robots can also benefit from attending to the dynamic tactile cues that occur as they manipulate objects in their environment and engage in social physical interaction with humans.
Haptic Intelligence Highlights
Haptify: A Measurement-Based System for Quantifying the Quality of Haptic Interfaces
The Human Leg Catapult: Biological Mechanisms for Walking Gait Replicated in the EcoWalker Robot
Creating an Affective Robot That Feels Both Touch and Emotion
An Interdisciplinary Approach to Human Pose Estimation: Application to Sign Language
Contact-Aware Refinement of Human Pose Pseudo-Ground Truth via Bioimpedance Sensing
ISyHand: A Dexterous Multi-finger Robot Hand with an Articulated Palm
Towards Robust and Flexible Robot State and Motion Estimation through Optimization and Learning
Socially Aware Computing for Augmenting Virtual Social Interactions
Dexterity and Haptics at the Manipulation and Touch Lab
Electrohydraulic Wearable Devices Create Unprecedented Haptic Sensations
Precision Haptics in Gait Retraining for Knee Osteoarthritis
Data-Driven Needle Puncture Detection for Urgent Medical Care Delivery in Space
Engineering and Evaluating Naturalistic Vibrotactile Feedback for Telerobotic Assembly