The BRAIN lab concentrates on multiple (bio) sensory modality feedback and machine learning for complex sensory signal processing and integration, adaptive neural motor control, embodied artificial intelligence, and their applications in human-machine interaction and rehabilitation domains. We also aim to develop “BRAIN technology” based on bio-inspired robotics and neural engineering. The technology will be used for advanced human-machine interaction.
How can brain-like mechanisms be developed and realized on artificial systems so they can perform multiple complex functions as biological living systems? To address this fundamental question, we employ a bio-inspired approach to develop brain-like mechanisms for adaptive motor control and autonomous learning of embodied multi-sensorimotor robotic systems. The developed mechanisms (BRAIN technology) are adaptive and flexible, which can be transferred to application areas like human-machine interaction, brain-machine interface, and rehabilitation.
An investigation of closed-loop EEG-based Brain Computer Interface (BCI) helps bridge the gap in communication between man and machine. Understanding patterns of brain activity from basic neuroscience research will help engineering to optimize the BCI system that could be applied in the real-world environment. Advanced signal processing techniques and pattern recognition methods such as machine learning, artificial neural network, and deep learning can improve the efficiency of BCI by increasing information transfer rate and accuracy. Ultimately, research based on BCI could lead to the development of novel tools used in both clinical and healthy populations.
By incorporating computational model into Big Data from CEOICHI, we aim to improve the medical making decision in Healthcare.
MC-PIG project funded by ARV receives Outstanding Paper Award from the 25th Technical Forum (Engineering and Operations) of PTT Exploration and Production Public Company Limited. The paper is entitled: “Morphological Adaptation for Speed Control of Pipeline Inspection Gauges (MC-PIG), T. Suthisomboon, P. Janbanjong, P. Kosanunt, S. Phodapol, P. Manoonpong”.
Prof. Poramate Manoonpong had participated in the Living Machines 2021 virtual conference. He gave a talk in the workshop namely INVERTEBRATE ROBOTICS, AKA “NO BACKBONE, NO PROBLEM” on 29 July 2021. He talked about the “Neural control for complex behaviors of invertebrate-inspired robots: From locomotion to object transportation and navigation” in the Invertebrate Minds session.
13.00-16.00 Thursday, August 5, 2021, via ZOOM Prof. Dr. Poramate Manoonpong will give a lecture on “ROBOT INTELLIGENCE INSPIRED BY NATURE: FROM NATURE TO SCIENCE AND ROBOTICS TECHNOLOGY“
In the Brain Lab, PRO ROBOTS provides content on robot collaboration demos. “The latest robotics and future technologies: all the April technology news in one issue!” (at time 32:56) says the subject.It discusses how collaborative robots and Drone mobile robots collaborate in industrial enterprises. that’s how it works
Research Talk: Hybrid Gecko-inspired Adhesive for Gripping and Soft Miniature Actuator for Haptic Surface Display
Thank you so much for your inspiring talk, Amy !
Our Ph.D. students, Mr. Vatsanai Jaiton and Mr. Binggwong Leung had been attending the 9.5th international symposium on Adaptive Motion of Animals and Machines (AMAM 2021) On 22-25 June 2021. Their submitted abstracts had accepted in this conference and they also gave poster presentations in the title of “Gait Adaptation of a Dung Beetle Rolling Read more about Attending AMAM 2021 Virtual Conference[…]
Kamnoetvidya Science Academy (KVIS) paid a visit to our Robotics Laboratory on June 25, 2021. A study on exoskeleton trials was delivered to students by Mr. Chaichan Akwutwanich, Ph.D. The students also participated in the treadmill walking experiment while clothed in tracksuits as if they were in a real experiment.
Congratulations to Arthicha Srisuchinnawong (our research engineer) on being accepted to the Master’s program in Robot Systems of the University of Southern Denmark.
Congratulations to Sujet Phodapol (our research engineer) on being accepted to the Master’s program in Systems, Control and Robotics of KTH Royal Institute of Technology.
Our project “Embodied Adaptive Autonomous NeuRal CONtrol for Robot Motion Intelligence (ERON)” is one of the Successful Research Projects for VISTEC-NSTDA Collaborative Research and Education Scholarships Academic Year 2021