Boris Belousov is interested in the theory and applications of motor skill learning in robotics. Insights from classical control, information theory, and statistics are bringing us to the next level of autonomy, enabling robots to perform increasingly delicate, skilled tasks. However, our understanding of generalization and compositionality in movement generation and execution is lagging behind. If you want to bridge the gap, get in touch.
Boris Belousov joined IAS in February 2016 as a member of the SKILLS4ROBOTS team committed to endowing robots with a higher level of intelligence. Prior to that, he received a MSc degree in communications and multimedia engineering from FAU and a BSc degree in applied mathematics and physics with focus on electrical engineering and cybernetics from MIPT.
Teaching / Supervision
- BS Thesis, Lennart Ebeling, Experimental validation of an MPC-POMDP model of ball catching
- MS Thesis (co-supervised with Hany Abdulsamad), Pascal Klink, Generalization and transferability of learned policies
- MS Thesis, David Nass, Risk-aware skill learning for robot badminton
- MS Thesis, Alymbek Sadybakasov, Learning tactile skills for architectural assembly
- Integrated Project (Summer-Winter 2018) (co-supervised with Fabio Muratore), Jonas Eschmann, Robin Menzenbach, Christian Eilers, Underactuated trajectory-tracking control for long-exposure photography
- MS Thesis, Yunlong Song, Minimax and entropic proximal policy optimization
- Teaching assistant for Statistical Machine Learning (Summer 2018)
- Teaching assistant for Integrated Project (Winter 2017)
- Integrated Project (Winter 2017), Alymbek Sadybakasov, Goal-directed reward generation
- Integrated Project (Summer 2017), Alymbek Sadybakasov, Interpolation of skills in the game of robopong
- Integrated Project (Winter 2016), Yunlong Song, Rong Zhi, Learning intuitive physics from videos
- Integrated Project (Summer 2016), J. Tang, T. Staschewski, H. Gou, Playing badminton with robots