Amartya Ganguly

Speaker

Dr. Amartya Ganguly, read his PhD from the University of Hull, UK. As a postdoc at Keele University, he contributed to the state of the art upper limb neuromusculoskeletal models currently used today. Selected for Horizon 2020 Innosup, he worked at Marsi Bionics, testing the world’s first pediatric exoskeleton and establishing a Biomechanics lab with CSIC-CAR Madrid. He developed hand models for clinical use in an EIT Health project at University of Heidelberg, Germany and holds expertise in neuro-musculoskeletal modeling, CE certification, wearable assistive devices, and clinical trials. A recipient of an Indo German Early Career award, he leads the Intelligent Neuroprosthetics research group at TU Munich and contributed to the EU Cost Action initiative for Wearable Robotics.

Speaker Links: Website - Google scholar

Abstract

This talk provides an overview of integrating biomechanical-informed models into robotic technologies for assistive devices. It highlights musculoskeletal modeling, showcasing its application in cutting-edge prosthetic human-in-the-loop scenarios with demonstrated feedback modalities. The aim is to pave the way for the next generation of prosthetics. The discussion includes the utilization of pattern recognition methods for off-the-shelf prosthetics and explores recent advancements. The talk concludes with insights into the envisioned future of assistive technology as per the research group’s perspectives.

Papers

• Groß, S., Hidalgo, D.,Breimann, S., Stein, N., Ganguly, A. , Naceri, A., & Haddadin, S. Soft Sensing Skins for Arbitrary Objects: An Automatic Framework. 2023 IEEE International Conference on Robotics and Automation (ICRA) , London, United Kingdom, 2023, pp. 12507-12513.
• Groß, S., Obwegs, L., Li, J., Castaneda, T.S., Ganguly, A. , Piazza, C., & Haddadin, S. Transforming Tactile Interfaces: Tri-Axis Force Sensor for Sensory Signal Processing. World Haptics 2023
• Groß, S., Breimann, S., Ganguly, A. , & Haddadin, S. (2022). A Practical Guide to Embedded 3D Printing for Soft-Skin-like Sensors. Proceedings of the 5th Workshop on Proximity Perception in Robotics at IROS 2022: Towards Next-Generation Multi-Modal Sensing in Soft Structures.
• Spieker, V. * , Ganguly, A. + , Haddadin, S., & Piazza, C. (2021). An Adaptive Multi-Modal Control Strategy to Attenuate the Limb Position Effect in Myoelectric Pattern Recognition. Sensors , 21 (21), 7404. (equal contribution, + invited paper)
• Ganguly, A. , Rashidi, G., & Mombaur, K. (2021). Can Leap Motion Controller replace conventional marker-based motion capture systems? In the XXVIII Congress of the International Society of Biomechanics.
• Schimmer, J., Ganguly, A. , & Mombaur, K. (2021). Analyzing the impact of sensor placement on the quality of sEMG signals on the human forearm. In the XXVIII Congress of the International Society of Biomechanics.
• Buchmann, D., Ganguly, A. , & Mombaur, K. (2021). Video game based kinematic assessment using a Leap Motion Controller. In the XXVIII Congress of the International Society of Biomechanics.
• Ganguly, A. , Rashidi, G., & Mombaur, K. (2021). Comparison of the Performance of the Leap Motion Controller TM with a Standard Marker-Based Motion Capture System. Sensors, 21(5), 1750.
• Blana, D., Van Den Bogert, AJ, Murray, WM, Ganguly, A. , Krasoulis, A., Nazarpour, K., & Chadwick, EK (2020). Model-based control of individual finger movements for prosthetic hand function. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 28(3), 612-620.