Principal Investigator

Majid Khadiv is an assistant professor in the school of Computation, Information and Technology (CIT). He leads the chair of AI Planning in Dynamics Environment at TUM and is also a member of the Munich Institute of Robotics and Machine Intelligence (MIRMI). Prior to joining TUM, he was a research scientist at the Empirical Inference department at the Max Planck Institute for Intelligent systems. Before that he was a postdoctoral researcher in the Machines in Motion, a joint laboratory between New York University and Max Planck Institute. Since the start of his PhD in 2012, he has been performing research on motion planning, control and learning for legged robots ranging from quadrupeds, lower-limb exoskeleton up to humanoid robots. He is currently an associate editor of the International Journal of Robotics Research (IJRR), IEEE Transactions on Robotics (T-RO) and IEEE Robotics and Automation Letters (RA-L) and has served for several years as an associate editor in major robotics conferences (ICRA, IROS, Humanoids). Contact: majidDOTkhadivATtum.de

Victor Dhédin is a PhD candidate in ATARI lab. He graduated from CentraleSupélec (University Paris-Saclay) in France with a Master's degree in Data and Information Sciences in addition to a dual degree in Robotics from the University of Lorraine. He does research on using machine learning to control robotic systems with an emphasis on legged locomotion. contact: victor.dhedinATtum.de

Shafeef Omar is a PhD candidate at ATARI lab, specializing in robotics and artificial intelligence. Previously, he was a research fellow (2022-2024) with the Dynamic Legged Systems Lab at the Istituto Italiano di Tecnologia. Before that, he was a research associate (2021-2022) with the Artificial Intelligence and Robotics Laboratory  at the Indian Institute of Science Bangalore. He graduated from the Indian Institute of Technology Madras with a Dual Degree in Engineering Design. In his current research, he focuses on inducing biases using model-based priors to learn safe and robust vision-aided loco-manipulation policies for legged robots. contact: shafeef.omarATtum.de

Michał Ciebielski is a PhD candidate at the ATARI lab. He obtained his BSc in Mechanical Engineering from the University of Connecticut (UCONN) in 2020 and his MSc in Robotics, Cognition and Intelligence from the Technical University of Munich (TUM) in 2024. Michał previously worked as a mechatronics engineer and robotics software engineer. In his current research, he focuses on task and motion planning for humanoid robots. contact: michal.ciebielskiATtum.de

Ilyass Taouil is a PhD candidate at the ATARI lab (Co-supervised by Prof. Angela Dai from the  3D AI Lab at TUM). He obtained his BSs in Computer Science from the University of Leeds in 2018 and his MSc in Computer Science from the University of Bonn in 2022. Previously he worked as a researcher/engineer in robotics at a couple different research institutes and companies. His current research focus is on humanoid loco-manipulation.

Jorge Playán Garai is a PhD candidate in ATARI lab (Co-supervised by Christopher Mcgreavy at CERN). He obtained his BSc in Electronics and Automation Engineering from the University of Zaragoza (UNIZAR) in 2019 and his MSc in Robotics and Automation from the Polytechnic University of Madrid (UPM) in 2021. He has been working as a robotics engineer at CERN for 3 years in low-level software, control, and algorithms for robotic systems. His main research focus is in navigation for legged locomotive robots in hazardous environments. Contact: jorge.playan-garaiATtum.de

Xun Pua is a master student in the ATARI lab. He is currently pursuing his masters in Mechanical Engineering at TUM and is interested in the design and development of robotic systems. contact: xun.puaATtum.de 

Simon Weber is a MSc student in the ATARI lab working on the use of reinforcement learning in model predictive control. Contact: simon1DOTweberATtum.de

Dian Yu is a M.Sc. student in the ATARI lab. He is currently pursuing his master degree in Robotics, Cognition, Intelligence at TUM. He obtained his B.Eng. in Electrical Engineering and automation from the University of Shanghai for Science and Technology (USST) and HAW Hamburg in 2023. His research interests cover learning-based control and locomotion of exoskeleton. Contact: Dian.yuATtum.de

Benno Nederkorn is a BSc student at the ATARI LAB doing his thesis on online system identification for quadrupedal robots. He is also a working student at the Roboverse Reply, Munich. Contact: bennoDOTnederkornATtum.de

Leon Schaller is a Bachelor student in ATARI lab. He is currently pursuing his degree in electrical engineering working on a multi-purpose robotic system meant to be used in a teaching environment. Contact: leon.schallerATtum.de

Mohammad Hasan Yeganegi received his BSc and MSc degrees in Mechanical Engineering from Bu-Ali Sina University (2016) and K. N. Toosi University of Technology (KNTU) (2019) respectively. From October 2019 to January 2021, he did an (virtual) internship at the Movement Generation and Control Group, Max-Planck Institute for Intelligent Systems in Tubingen under supervision of Prof. Majid Khadiv. Mohammad has worked on MPC cost weights tuning by the use of Bayesian Optimization and the feasibility guarantees of LMPC using the viability concept for bipedal locomotion. Currently, he does research on task and motion planning for legged robots. Contact: yeganegi.m94ATgmail.com

Haizhou Zhao is a visiting student at the ATARI lab. He obtained his BEng in Mechatronics and Robotic Systems from Xi'an Jiaotong-Liverpool University and the University of Liverpool. From 2022-2023, he was a research intern at DISCOVER Lab, Tsinghua AIR. From 2023-2024, he worked at Fangzhouwuxian Technology (ARX) as a co-founder and a control engineer. He had experience with bipedal and wheeled-bipedal robot control and embedded software development. In 2024, he will start his study at CMU as a master's student. Currently, his research focuses on optimal control for switched systems.

Rikhat Akizhanov is a master student at MBZUAI majoring in Computer Vision. He received his BSc in Robotics and Mechatronics from Nazarbayev University. His current research focuses on learning legged robots parkour, combining vision and locomotion control.

Adithya Chinnakkonda Ravi is a Robotics Engineer at Synergeticon GmbH, specializing in AMRs and Manipulators. He earned his Master's degree in Mechatronics from TU Hamburg. Previously, he served as a student researcher at the Max Planck Institute for Intelligent Systems in Tuebingen under the supervision of Prof. Khadiv. Adithya's expertise includes Reinforcement Learning, Game Theory, and Machine Learning for legged robots.