Projects
Autonomous Untethered Micro Soft Robots
This project tackles the prevailing limitations in microrobotics, specifically the lack of autonomy and the reliance on external tethers. Our objective is to develop autonomous untethered micro soft robots by ingeniously integrating state-of-the-art soft actuators and mechanisms — capable of precise control and powered by compact onboard electronics and power sources. The project also focuses on the strategic incorporation of miniaturized sensors and the implementation of resource-efficient SLAM algorithms, all within a robust and innovative robotic framework. This initiative represents a significant leap forward in the field, aiming to enhance the operational independence and versatility of microrobots.
SLAM and Sensor Deployment for Soft Robots
Soft robots present a unique challenge for Simultaneous Localization and Mapping (SLAM) due to their transformative nature and distinctive locomotion. Traditional SLAM algorithms, designed with rigid robot frames in mind, fall short when applied to the dynamic framework of soft robots. Our project is at the forefront of overcoming this obstacle. We aim to innovate by redesigning the SLAM architecture specifically for soft robots. This involves optimizing sensor deployment within synthetic environments prior to actual implementation, thus paving the way for effective SLAM application in the ever-evolving domain of soft robotics.
Autonomous Impact Resistant Tensegrity Robots
Tensegrity robots, distinguished by their composition of rigid struts and flexible tendons, are emerging as ideal candidates for space exploration thanks to their exceptional resilience against harsh impacts. Despite their potential, challenges such as low speed, limited maneuverability in unstructured terrains, inadequate onboard sensing, and a significant simulation-to-reality gap have limited their practical application. Our project is focused on overcoming these challenges by developing a fully autonomous tensegrity robot. This robot will feature advanced maneuverability and enhanced impact resistance, tailored for extreme environments. Our approach includes the implementation of a modular mechanical and electrical design, complemented by a distributed SLAM system operating onboard. This system is further bolstered by a computationally efficient physics engine, ensuring the robot's adeptness in navigating and adapting to complex terrains.