LIMBERO: A Limbed Climbing Exploration Robot Toward Traveling on Rocky Cliffs

2026-03-17

AI Summary

This work addresses the challenge of stable locomotion for conventional wheeled robots on rugged, steep rocky terrains—such as extraterrestrial surfaces—by introducing LIMBERO, a 10-kg quadrupedal climbing robot. Its key innovation lies in a lightweight (525 g), single-motor-driven spine gripper that couples finger closure with spine-hook actuation to achieve gripping forces exceeding 150 N. Integrated with a geometry-based algorithm for continuous graspability assessment on rough terrain, the system enables visualized optimization of grasping strategies. LIMBERO demonstrates, for the first time, successful climbing on steep rocky surfaces under 1G gravity, overcoming a critical performance bottleneck faced by similarly sized legged robots in real-world complex environments.

Technology Category

• Intelligent Robots: Manipulation
• Humans and AI: Human-Aware Planning and Behavior Prediction
• Natural Language Processing: Safety and Robustness

Application Category

• Responsible Web: Machine-in-the-loop, human agency and autonomy
• Systems and Infrastructure for Web, Mobile and WoT: Experiences and lessons learnt from Web-based algorithms and system deployments
• Search and Retrieval-Augmented AI: Vertical and domain-specific search

Abstract

In lunar and planetary exploration, legged robots have attracted significant attention as an alternative to conventional wheeled robots, which struggle to traverse rough and uneven terrain. To enable locomotion over highly irregular and steeply inclined surfaces, limbed climbing robots equipped with grippers on their feet have emerged as a promising solution. In this paper, we present LIMBERO, a 10 kg-class quadrupedal climbing robot that employs spine-type grippers for stable locomotion and climbing on rugged and steep terrain. We first introduce a novel gripper design featuring coupled finger-closing and spine-hooking motions, tightly actuated by a single motor, which achieves exceptional grasping performance (>150 N) despite its lightweight design (525 g). Furthermore, we develop an efficient algorithm to visualize a geometry-based graspability index on continuous rough terrain. Finally, we integrate these components into LIMBERO and demonstrate its ability to ascend steep rocky surfaces under a 1 G gravity condition, a performance not previously achieved yet for limbed climbing robots of this scale.

Problem

• limbed climbing robot
• rocky cliffs
• planetary exploration
• steep terrain locomotion
• gripper-based climbing

Innovation

• spine-type gripper
• limbed climbing robot
• graspability index
• quadrupedal locomotion
• rough terrain climbing