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.
Lee Loong Yi (PhD Student) became Best Presentation Award Finalists at IEEE Robosoft 2023
Wong Yoong Kent on best FYP poster award (1st winner) at the Mechanical Engineering Discipline level (Sem 2/2022 - Sem 1/2023)
Chin Wei Jin won best FYP poster award (1st winner) at the School of Engineering level (Sem 2/2021 - Sem 1/2022)
Tristan Sim Yook Min won best FYP poster award (1st winner) at the Mechanical Engineering Discipline level (Sem 2/2021 - Sem 1/2022)
Lee Loong Yi (PhD Student) participated and won gold medal at ITEX 2021
Tan Wei Feng won best Final Year Project (FYP), 1st winner, Mechanical Engineering Discipline (Sem 2/2020 - Sem 1/2021)
Tan Wei Feng won best FYP, 1st winner (IEEE SMC category), Mechanical Engineering Discipline (Sem 2/2020 - Sem 1/2021)
Hoo Sum Key won best FYP, 2nd runner up (IEEE EMBS category), Mechanical Engineering Discipline (Sem 2/2020 - Sem 1/2021)
(1) Energy Harvesting for Robots with Adaptive Morphology (2023), Soft Robotics. (link)
(2) An Embodied Intelligence-Based Biologically Inspired Strategy for Searching a Moving Target (2022), Artificial Life. (link)
(3) A Zero-Shot Soft Sensor Modeling Approach Using Adversarial Learning for Robustness Against Sensor Fault (2022), IEEE Transactions on Industrial Informatics. (link)
(4) Robust multimodal indirect sensing for soft robots via neural network aided filter-based estimation (2022), Soft Robotics. (link)
(5) Musculoskeletal modelling and simulation of oil palm fresh fruit bunch harvesting, Scientific Reports. (link)
(6) Power efficient adaptive behavior through shape changing elastic robot (2022), Adaptive Behavior. (link)
Call for Papers: Special issue on Bio-Inspired Soft Locomotion. GUEST EDITORS: Surya Nurzaman (Monash University), Onur Ozcan (Bilkent University), Murat Reis (Uludag University)
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.