Manish Prajapat

According to our database, Manish Prajapat authored at least 15 papers between 2019 and 2025.

Collaborative distances:

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

2025

Safe Guaranteed Exploration for Nonlinear Systems.

Manish Prajapat, Johannes Köhler, Matteo Turchetta, Andreas Krause, Melanie N. Zeilinger

IEEE Trans. Autom. Control., August, 2025

Robust-Sub-Gaussian Model Predictive Control for Safe Ultrasound-Image-Guided Robotic Spinal Surgery.

Yunke Ao, Manish Prajapat, Yarden As, Yassine Taoudi-Benchekroun, Fabio Carrillo, Hooman Esfandiari, Benjamin F. Grewe, Andreas Krause, Philipp Fürnstahl

CoRR, August, 2025

SonoGym: High Performance Simulation for Challenging Surgical Tasks with Robotic Ultrasound.

Yunke Ao, Masoud Moghani, Mayank Mittal, Manish Prajapat, Luohong Wu, Frédéric H. Giraud, Fabio Carrillo, Andreas Krause, Philipp Fürnstahl

CoRR, July, 2025

Performance-Driven Constrained Optimal Auto-Tuner for MPC.

Albert Gassol Puigjaner, Manish Prajapat, Andrea Carron, Andreas Krause, Melanie N. Zeilinger

IEEE Robotics Autom. Lett., May, 2025

Finite-Sample-Based Reachability for Safe Control with Gaussian Process Dynamics.

Manish Prajapat, Johannes Köhler, Amon Lahr, Andreas Krause, Melanie N. Zeilinger

CoRR, May, 2025

Stochastic Model Predictive Control for Sub-Gaussian Noise.

Yunke Ao, Johannes Köhler, Manish Prajapat, Yarden As, Melanie Nicole Zeilinger, Philipp Fürnstahl, Andreas Krause

CoRR, March, 2025

2024

SMART: Self-learning Meta-strategy Agent for Reasoning Tasks.

Rongxing Liu, Kumar Shridhar, Manish Prajapat, Patrick Xia, Mrinmaya Sachan

CoRR, 2024

Safe Guaranteed Exploration for Non-linear Systems.

Manish Prajapat, Johannes Köhler, Matteo Turchetta, Andreas Krause, Melanie N. Zeilinger

CoRR, 2024

Global Reinforcement Learning : Beyond Linear and Convex Rewards via Submodular Semi-gradient Methods.

Riccardo De Santi, Manish Prajapat, Andreas Krause

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Submodular Reinforcement Learning.

Manish Prajapat, Mojmir Mutny, Melanie N. Zeilinger, Andreas Krause

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Towards safe and tractable Gaussian process-based MPC: Efficient sampling within a sequential quadratic programming framework.

Manish Prajapat, Amon Lahr, Johannes Köhler, Andreas Krause, Melanie N. Zeilinger

Proceedings of the 63rd IEEE Conference on Decision and Control, 2024

2022

Near-Optimal Multi-Agent Learning for Safe Coverage Control.

Manish Prajapat, Matteo Turchetta, Melanie N. Zeilinger, Andreas Krause

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Competitive policy optimization.

Manish Prajapat, Kamyar Azizzadenesheli, Alexander Liniger, Yisong Yue, Anima Anandkumar

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

2020

AMZ Driverless: The full autonomous racing system.

Juraj Kabzan, Miguel de la Iglesia Valls, Victor J. F. Reijgwart, Hubertus Franciscus Cornelis Hendrikx, Claas Ehmke, Manish Prajapat, Andreas Bühler, Nikhil Bharadwaj Gosala, Mehak Gupta, Ramya Sivanesan, Ankit Dhall, Eugenio Chisari, Napat Karnchanachari, Sonja Brits, Manuel Dangel, Inkyu Sa, Renaud Dubé, Abel Gawel, Mark Pfeiffer, Alexander Liniger, John Lygeros, Roland Siegwart

J. Field Robotics, 2020

2019

Redundant Perception and State Estimation for Reliable Autonomous Racing.

Nikhil Bharadwaj Gosala, Andreas Bühler, Manish Prajapat, Claas Ehmke, Mehak Gupta, Ramya Sivanesan, Abel Gawel, Mark Pfeiffer, Mathias Bürki, Inkyu Sa, Renaud Dubé, Roland Siegwart

Proceedings of the International Conference on Robotics and Automation, 2019