Laboratory for Intelligent and Flexible Machine(s)
Mechanical Engineering Discipline, School of Engineering, Monash University
Welcome to LIFE
Overarching Research Goal
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.
Highlighted News
Recent Students Awards
Recent Journal Publications
Recent Journal Publications
Chow Khin Nyp won best poster award (1st winner), at the Mechanical Engineering Discipline (Sem 1/2024 - Sem 2/2024)
Jonathan Dao Pheng Lim won best video award (2nd runner up) at the Mechanical Engineering Discipline (Sem 1/2024 - Sem 2/2024)
Lee Loong Yi (PhD Student) became Best Presentation Award Finalists at IEEE Robosoft 2023
Recent Journal Publications
Recent Journal Publications
Recent Journal Publications
(1) A Deep Learning Framework for Soft Robots with Synthetic Data (2023), Soft Robotics. (link)
(2) Simulation of Passive Exotendon Assistive Device for Agricultural Harvesting Task (2023), Phys. Eng. Sci. Med. (link)
(3) Investigation of Muscle Synergies and Their Consistency Among Fresh Fruit Bunches Manual Harvesters in a Real-life Oil Palm Industry (2023), Int. J. Ind. Ergon. (link)
(4) Energy Harvesting for Robots with Adaptive Morphology (2023), Soft Robotics. (link)
Special Issues
Recent Journal Publications
Special Issues
A special issue on Bio-Inspired Soft Locomotion (2023). 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)
Research Areas
Soft Robotics
Bio-Inspired Robotics
Bio-Inspired Robotics
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.
Bio-Inspired Robotics
Bio-Inspired Robotics
Bio-Inspired Robotics
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.
Embodied Intelligence
Bio-Inspired Robotics
Embodied Intelligence
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.
Energy Efficiency
Industrial Collaboration
Embodied Intelligence
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.
Dynamical Systems
Industrial Collaboration
Industrial Collaboration
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.
Industrial Collaboration
Industrial Collaboration
Industrial Collaboration
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.
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