teaching and tutorials
A collection of learning resources.
teaching
-
(Spring 2023: instructor, ETH Zurich): Programming for Robotics - ROS
-
(Spring 2022: instructor, ETH Zurich): Programming for Robotics - ROS
-
(Fall 2021: TA, ETH Zurich): Robot Dynamics
-
(Fall 2017: head TA, IIT Kanpur): Autonomous Navigation with Mangal Kothari
tutorials
The following presentations are based some of the research papers I covered in various reading groups.
- Kinematic Planning for Mobile Manipulators using Optimal Control (slides)
- Efficient kinematic planning for mobile manipulators with non-holonomic constraints using optimal control, Giftthaler et al. (2017)
- Maximum-a-Posteriori Policy Optimization (slides)
- MAP Policy Optimization, Abdolmaleki et al. (2018)
- V-MPO: On-Policy MAP Policy Optimization For Discrete and Continuous Control, Song et al. (2019)
- Meta-Learning with Implicit Gradients (slides)
- Meta-Learning with Implicit Gradients, Rajeswaran et al. (2019)
- Hierarchical Reinforcement Learning (slides)
- FeUdal Networks for Hierarchical Reinforcement Learning, Vezhnevets et al. (2017)
- Data-Efficient Hierarchical Reinforcement Learning, Nachum et al. (2018)
- Meta Learning Shared Hierarchies, Frans et al. (2017)
As a part of the Robotics Club at IIT Kanpur, I gave these presentations to share knowledge about robotics with the campus community: