Designing passive stability in mountain goat-inspired robotic feet through situated heuristics

Abstract This paper explores the mechanical intelligence of a mountain goat-type hoof designed for passive dynamic slip resistance on inclined natural surfaces. We hypothesised that specific hoof features can be tuned to leverage sloped terrain characteristics to reduce slip. We took a situated heuristics-based approach to iteratively design the hoof, conducting multiple experiments in an Alpine-type environment. Results show that combining surface geometry, material, and direction-dependent compliance in various degrees of freedom is key to reducing slip. Indoor tests across slope angles and loads show that stick-slip events correlate with reduced slip distance following a forced slip from rest. Additionally, tests on different slope surfaces showed that the passive slip dynamics also depend on the mechanical properties of the slope itself. Overall, these results affirm that a situated heuristics-based design approach effectively builds mechanical intelligence in a robot, enabling it to optimise interactions with its environment for improved slip resistance.

Authors

Institutions

Publication Details

Journal
npj Robotics
Published
2025-12-02
DOI
https://doi.org/10.1038/s44182-025-00061-0
Primary Topic
Robotic Locomotion and Control
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Designing passive stability in mountain goat-inspired robotic feet through situated heuristics

Alok Ranjan, Manolo Garabini, Franco Angelini, Thrishantha Nanayakkara et al.
npj Robotics
Robotic Locomotion and Control
article

Designing passive stability in mountain goat-inspired robotic feet through situated heuristics

Alok Ranjan, Manolo Garabini, Franco Angelini, Thrishantha Nanayakkara, Chris Kalogroulis, Jonah Hewett
article en

Abstract

Abstract This paper explores the mechanical intelligence of a mountain goat-type hoof designed for passive dynamic slip resistance on inclined natural surfaces. We hypothesised that specific hoof features can be tuned to leverage sloped terrain characteristics to reduce slip. We took a situated heuristics-based approach to iteratively design the hoof, conducting multiple experiments in an Alpine-type environment. Results show that combining surface geometry, material, and direction-dependent compliance in various degrees of freedom is key to reducing slip. Indoor tests across slope angles and loads show that stick-slip events correlate with reduced slip distance following a forced slip from rest. Additionally, tests on different slope surfaces showed that the passive slip dynamics also depend on the mechanical properties of the slope itself. Overall, these results affirm that a situated heuristics-based design approach effectively builds mechanical intelligence in a robot, enabling it to optimise interactions with its environment for improved slip resistance.

npj RoboticsVol. 3(1)
University of Pisa (IT), Piaggio (Italy) (IT), Dyson (United Kingdom) (GB), Imperial College London (GB)
Openalex Percentile: Top 63%
Robotic Locomotion and Control
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.