Centre for AI Robotics in Space Sustainability (CAIRSS)

RP1: Next generation of robotic manipulation for active debris removal

This program develops a bio-inspired, AI-powered robotic manipulator designed for the precise capture and removal of space debris in unstructured orbital environments. Unlike conventional rigid-body robotic arms, our solution integrates high-precision rigid joints with adaptive stiffness-controlled actuation, enabling both effective targeting of fast-moving debris and compliant, dexterous handling to prevent fragmentation upon contact. A hybrid sensing system combining vision-based motion prediction with tactile feedback ensures robust operation in dynamic conditions, while lightweight, self-healing materials enhance durability against target object impacts. By balancing machine learning for real-time decision-making with mechanically intelligent design, this system addresses the critical gap between force-sensitive manipulation and autonomous adaptability, key to sustainable orbital cleanup.

RP2: Bio-Inspired Robotic Penetrator for Lunar Polar Regolith Resource Prospecting and Excavation

This program pioneers a novel bio-inspired robotic penetrator to overcome the challenges of prospecting and excavating water ice and volatile-rich regolith in the Moon’s polar regions. Drawing inspiration from insect and/or earthworm reciprocating/peristaltic motion and root growth mechanisms, the penetrator combines self-burrowing locomotion with low-power, high-efficiency excavation to minimize energy consumption in extreme lunar conditions. The system features modular, deformable segments that adapt to subsurface density variations, while embedded spectroscopic sensors enable real-time in-situ resource analysis. A hybrid actuation system allows precise control over penetration depth and sample extraction without excessive regolith disturbance. This approach addresses critical limitations of conventional drilling, offering gentle yet effective prospecting to support future In-Situ Resource Utilization (ISRU) missions.

RP3: Assistive Robotics enhancing Astronaut Safety and Productivity in Space Operations

This program focuses on intelligent assistive robotics to enhance astronaut efficiency and safety during complex space operations. Leveraging multi-modal sensing and AI-powered control, the system integrates eye-tracking technology with haptic feedback interfaces to enable astronauts to remotely operate robotic manipulators with unprecedented precision and reduced cognitive load. The robotic platform features context-aware autonomy, allowing it to interpret gaze-directed commands while compensating for microgravity-induced motor control challenges. Advanced computer vision algorithms map eye movements to robotic actions, while predictive assistance anticipates astronaut intent to streamline tasks like equipment maintenance or scientific sample handling. By combining human-centric design with adaptive machine learning, this system reduces operation time while minimizing errors during critical procedures, fundamentally transforming human-robot collaboration in space exploration.