Proprioceptive Inchworm Robots for Space Applications

Inchworm robots are an emerging tool for construction and maintenance tasks in extraterrestrial environments. We are interested in developing a new class of inchworm robots that can sense and regulate the forces they exert through proprioception, allowing for safer robot-structure interactions and for more dexterous manipulation. Designing such robots presents significant challenges, especially in gravity environments where motor units must exert large torques to support the robot's own weight. This paper introduces a framework for the simulation, design, and control of proprioceptive inchworm robots that use large diameter, low gear ratio brushless motor actuators and impedance-based control strategies. We develop a symbolic physics model to determine torque requirements at the main drive joints, accounting for robot geometry, mass distri-bution, payload characteristics, and gravity. An impedance control strategy is implemented alongside a trajectory generation pipeline to enable smooth, continuous motion based on high-level user inputs as keypoints. Utilizing simulations, we select suitable commercial off-the-shelf actuators and design the Modular Scaling Omnidirectional Lattice Locomoting Explorer (mSOLL-E), an improved inchworm robot for the NASA AR-MADAS project that is lower in cost, higher in performance, and more modular than its predecessor. Physical experiments validate our simulation results and control methods, demonstrating mSOLL-E's ability to execute autonomous stepping trajectories and gravity compensation modes effectively. Our work provides a pathway toward autonomous construction and maintenance of extraterrestrial structures by fleets of proprioceptive inchworm robots.

Authors

Institutions

Publication Details

Published
2025-03-01
DOI
https://doi.org/10.1109/aero63441.2025.11068540
Primary Topic
Space Satellite Systems and Control
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Proprioceptive Inchworm Robots for Space Applications

Christine Gregg, Kenneth Cheung, Irina Kostitsyna, Olivia Formoso et al.
Space Satellite Systems and Control
article

Proprioceptive Inchworm Robots for Space Applications

Christine Gregg, Kenneth Cheung, Irina Kostitsyna, Olivia Formoso, Pascal Spino, Frank Sebastianelli, Daniela Rus
article en

Abstract

Inchworm robots are an emerging tool for construction and maintenance tasks in extraterrestrial environments. We are interested in developing a new class of inchworm robots that can sense and regulate the forces they exert through proprioception, allowing for safer robot-structure interactions and for more dexterous manipulation. Designing such robots presents significant challenges, especially in gravity environments where motor units must exert large torques to support the robot's own weight. This paper introduces a framework for the simulation, design, and control of proprioceptive inchworm robots that use large diameter, low gear ratio brushless motor actuators and impedance-based control strategies. We develop a symbolic physics model to determine torque requirements at the main drive joints, accounting for robot geometry, mass distri-bution, payload characteristics, and gravity. An impedance control strategy is implemented alongside a trajectory generation pipeline to enable smooth, continuous motion based on high-level user inputs as keypoints. Utilizing simulations, we select suitable commercial off-the-shelf actuators and design the Modular Scaling Omnidirectional Lattice Locomoting Explorer (mSOLL-E), an improved inchworm robot for the NASA AR-MADAS project that is lower in cost, higher in performance, and more modular than its predecessor. Physical experiments validate our simulation results and control methods, demonstrating mSOLL-E's ability to execute autonomous stepping trajectories and gravity compensation modes effectively. Our work provides a pathway toward autonomous construction and maintenance of extraterrestrial structures by fleets of proprioceptive inchworm robots.

Ames Research Center (US), Massachusetts Institute of Technology (US)
Openalex Percentile: Top 77%
Space Satellite Systems 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.