Akhil Sathuluri

I am a PhD student at TU Munich, working on co-evolution of morphology and control of robotic systems at the Robot Systems Forschungsgruppe at LPL.

As a part of my PhD, I am fortunate to work with the Artificial and Mechanical Intelligence Research Line, at the Italian Institute of Technology. Here, I am currently working on using co-design to improve the robustness of a walking humanoid robot by the combined optimisation of locmotion controller and the joint actuation sub-systems.

I previously worked as an Electrical Engineer in the Robotics and Automation team of Bajaj Auto Ltd., the largest three-wheeler and the third largest two-wheeler manufacturer in the world. I worked on the development of electrical sub-systems for special purpose robotic machines and edge based machine vision systems.

I graduated from the Department of Engineering Design, Indian Institute of Technology Madras. I was a member of the Robotics Lab, advised by Prof. Sandipan Bandyopadhyay, where I worked on the topics of design, analysis and control of parallel robots.

Email / GitHub / LinkedIn / CV

Research

	In-progress Akhil Sathuluri and colleagues at IIT Italian Institute of Technology, Genova, 2023
	In-progress Akhil Sathuluri, Maximilian Amm and colleagues at TUM, Max Planck Institute for Plasma Physics TUM, 2023
	Computational Systems Design of Low-Cost Lightweight Robots Akhil Sathuluri, Anand Vazhapilli Sureshbabu, Jintin Frank, Maximilian Amm, Markus Zimmermann Robotics 2023, 2023 paper / code /
	Robust co-design of robots via cascaded optimisation Akhil Sathuluri, Anand Vazhapilli Sureshbabu, Markus Zimmermann International Conference on Robotics and Automation (ICRA 2023), London, 2023 paper / video / code /
	A systems design approach for the co-design of a humanoid robot arm Akhil Sathuluri Presented at the Workshop on Development and Design Pipelines - From first ideas to well-functioning robots, 2022 IEEE-RAS International Conference on Humanoid Robots (Humanoids 2022), 2022 preprint / code /
	Extended-configuration-space modelling: mapping to reduced order models and real-time simulation of Lagrangian dynamics and control of parallel manipulators Akhil Sathuluri Advisor: Sandipan Bandyopadhyay In progress, 2020 code /
	A Study on the Lagrangian Formulation of Dynamics with Applications to Control of Parallel Manipulators Akhil Sathuluri Advisor: Sandipan Bandyopadhyay Dual Degree Report, 2019 report / code / slides /
	Root-tracking methods and their applications in simulations Akhil Sathuluri Advisor: Sandipan Bandyopadhyay In progress, 2019 code /
	MaMiC: Macro and Micro Curriculum for Robotic Reinforcement Learning Manan Tomar, Akhil Sathuluri, Balaraman Ravindran Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2018 paper / arxiv /
	Sim-to-real transfer with industrial robots Akhil Sathuluri, Manan Tomar Industrial Research, 2018 code /
	MagNex — Expendable robotic surgical tooltip Karthik Chandrasekaran, Akhil Sathuluri, Asokan Thondiyath IEEE International Conference on Robotics and Automation (ICRA), 2017 paper /