Maks Sorokin

According to our database, Maks Sorokin authored at least 11 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Sumo: Dynamic and Generalizable Whole-Body Loco-Manipulation.

John Z. Zhang, Maks Sorokin, Jan Brüdigam, Brandon Hung, Stephen Phillips, Dmitry Yershov, Farzad Niroui, Tong Zhao, Leonor Fermoselle, Xinghao Zhu, Chao Cao, Duy Ta, Tao Pang, Jiuguang Wang, Preston Culbertson, Zachary Manchester, Simon Le Cleac'h

CoRR, April, 2026

AdaptManip: Learning Adaptive Whole-Body Object Lifting and Delivery with Online Recurrent State Estimation.

Morgan Byrd, Donghoon Baek, Kartik Garg, Hyunyoung Jung, Daesol Cho, Maks Sorokin, Robert Wright, Sehoon Ha

CoRR, February, 2026

2024

Jacta: A Versatile Planner for Learning Dexterous and Whole-body Manipulation.

Jan Brüdigam, Ali-Adeeb Abbas, Maks Sorokin, Kuan Fang, Brandon Hung, Maya Guru, Stefan Sosnowski, Jiuguang Wang, Sandra Hirche, Simon Le Cleac'h

Proceedings of the Conference on Robot Learning, 6-9 November 2024, Munich, Germany., 2024

2023

Relax, it doesn't matter how you get there: A new self-supervised approach for multi-timescale behavior analysis.

Mehdi Azabou, Michael Mendelson, Nauman Ahad, Maks Sorokin, Shantanu Thakoor, Carolina Urzay, Eva L. Dyer

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

On Designing a Learning Robot: Improving Morphology for Enhanced Task Performance and Learning.

Maks Sorokin, Chuyuan Fu, Jie Tan, C. Karen Liu, Yunfei Bai, Wenlong Lu, Sehoon Ha, Mohi Khansari

IROS, 2023

2022

Learning to Navigate Sidewalks in Outdoor Environments.

Maks Sorokin, Jie Tan, C. Karen Liu, Sehoon Ha

IEEE Robotics Autom. Lett., 2022

Learning Behavior Representations Through Multi-Timescale Bootstrapping.

Mehdi Azabou, Michael Mendelson, Maks Sorokin, Shantanu Thakoor, Nauman Ahad, Carolina Urzay, Eva L. Dyer

CoRR, 2022

HumanConQuad: Human Motion Control of Quadrupedal Robots using Deep Reinforcement Learning.

Sunwoo Kim, Maks Sorokin, Jehee Lee, Sehoon Ha

Proceedings of the SIGGRAPH Asia 2022 Emerging Technologies, 2022

Human Motion Control of Quadrupedal Robots using Deep Reinforcement Learning.

Sunwoo Kim, Maks Sorokin, Jehee Lee, Sehoon Ha

Proceedings of the Robotics: Science and Systems XVIII, New York City, NY, USA, June 27, 2022

2021

Learning Human Search Behavior from Egocentric Visual Inputs.

Maks Sorokin, Wenhao Yu, Sehoon Ha, C. Karen Liu

Comput. Graph. Forum, 2021

A Few Shot Adaptation of Visual Navigation Skills to New Observations using Meta-Learning.

Qian Luo, Maks Sorokin, Sehoon Ha

Proceedings of the IEEE International Conference on Robotics and Automation, 2021