Integrating Reconfigurable Foot Design, Multi-modal Contact Sensing, and Terrain Classification for Bipedal Locomotion

TL;DR

This paper introduces a bio-inspired bipedal robot foot with multi-modal sensors and real-time terrain classification, enhancing stability and adaptability on diverse terrains.

Contribution

It presents a novel reconfigurable foot design combined with multi-modal sensing and terrain classification for improved bipedal locomotion.

Findings

Enhanced ground contact and stability on varied terrains

Effective real-time terrain classification system

Improved adaptability of bipedal robots

Abstract

The ability of bipedal robots to adapt to diverse and unstructured terrain conditions is crucial for their deployment in real-world environments. To this end, we present a novel, bio-inspired robot foot design with stabilizing tarsal segments and a multifarious sensor suite involving acoustic, capacitive, tactile, temperature, and acceleration sensors. A real-time signal processing and terrain classification system is developed and evaluated. The sensed terrain information is used to control actuated segments of the foot, leading to improved ground contact and stability. The proposed framework highlights the potential of the sensor-integrated adaptive foot for intelligent and adaptive locomotion.