The overarching research goal of LIFE is the development of intelligent machines, i.e. robots, beyond the current technological advances in terms of flexibility, adaptability, and other related aspects like safe interaction and energy efficiency. The approach taken to achieve the goal is to focus on the principle in biological systems that shows the importance of their embodied intelligence due to the soft and flexible body.
Tan Wei Feng, best Final Year Project (FYP), 1st winner, Mechanical Engineering Discipline (Sem 2/2020 - Sem 1/2021)
Tan Wei Feng, best FYP, 1st winner (IEEE SMC category), Mechanical Engineering Discipline (Sem 2/2020 - Sem 1/2021)
Hoo Sum Key, best FYP, 2nd runner up (IEEE EMBS category), Mechanical Engineering Discipline (Sem 2/2020 - Sem 1/2021)
(1) Robust multimodal indirect sensing for soft robots via neural network aided filter-based estimation (2021), Soft Robotics (ACCEPTED)
(2) Power efficient adaptive behavior through shape changing elastic robot (2021), Adaptive Behavior (link)
(3) Predictive uncertainty estimation using deep learning for soft robot multimodal sensing (2021), IEEE Robot. Autom. Lett. 6(2): 951-957. (link)
(4) Closed-structure compliant gripper with morphologically optimized multi-material fingertips for aerial grasping (2021), IEEE Robot. Autom. Lett. 6(2): 887-894. (link)
Congratulations to Loo Junn Yong, Ding Ze Yang, Lee Loong Yi, Omar Syadiqeen, Shiv Katiyar and thanks to all the collaborators!
A special issue on Design Optimization of Soft Robots is published in December issue (2020) of IEEE Robotics & Automation Magazine. GUEST EDITORS:
Surya Nurzaman (Monash University), Liyu Wang (Univ. of California Berkeley), Fumiya Iida (Univ. of Cambridge), Jeffrey Lipton (Univ. of Washington), Daniela Rus (MIT), Dario Floreano (EPFL)
Unlike most of today’s robots which are made of rigid materials, structures made of soft materials can be found everywhere in biological world, such as the muscles and skins. We investigate the use of soft and flexible materials in robotic systems, with the expectation to realise systems that are cheaper, safer and more adaptable than the level that the conventional rigid-material robots can achieve.
Through the inspiration from the design principles shown by biological systems, we envision the development of intelligent robotic systems that are closer to their biological counterparts in terms of flexibility, adaptability, safe interaction or energy efficiency. The principles are being investigated in mobile robotics, legged locomotion, aerial robotics, grasping, and wearable systems.
One of the primary bio-inspired principles being investigated in LIFE is embodied intelligence, sometimes also referred to as morphological computation. The principle essentially states that the size, shape and material properties of physically embodied systems, and their interaction with the environments, can facilitate control and sensing in generating intelligent behaviours.
One of the aspects where robots still cannot compete with their biological counterparts is energy efficiency. We investigate the underlying principles of energy efficiency in biological systems and applied them to different types of robots, in real life and simulation.
We also put significant effort into investigating and analysing the dynamics of robotic systems, particularly those at least partially made of soft and compliant materials. The effort includes self-organisation based approaches and model based approaches like mass-spring damper model and state estimation.
We are continuously engaging and seeking collaboration with industry to solve relevant technology problems, apply the investigated fundamental principles and promote the utilisation of newly discovered inventions and techniques.