Manish Prajapat

26 papers A* 4A 1Journal 20Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Robust-Sub-Gaussian Model Predictive Control for Safe Ultrasound-Image-Guided Robotic Spinal Surgery.
IEEE Robotics Autom. Lett.
Yunke Ao, Manish Prajapat, Yarden As, Yassine Taoudi-Benchekroun, Fabio Carrillo, Hooman Esfandiari, Benjamin F. Grewe, Andreas Krause, Philipp Fürnstahl
2026 J jnl
Safe Exploration via Policy Priors.
CoRR
Manuel Wendl, Yarden As, Manish Prajapat, Anton Pollak, Stelian Coros, Andreas Krause
2025 J jnl
Finite-Sample-Based Reachability for Safe Control with Gaussian Process Dynamics.
CoRR
Manish Prajapat, Johannes Köhler, Amon Lahr, Andreas Krause, Melanie N. Zeilinger
2025 J jnl
Performance-Driven Constrained Optimal Auto-Tuner for MPC.
IEEE Robotics Autom. Lett.
Albert Gassol Puigjaner, Manish Prajapat, Andrea Carron, Andreas Krause, Melanie N. Zeilinger
2025 J jnl
Performance-driven Constrained Optimal Auto-Tuner for MPC.
CoRR
Albert Gassol Puigjaner, Manish Prajapat, Andrea Carron, Andreas Krause, Melanie N. Zeilinger
2025 J jnl
Robust-Sub-Gaussian Model Predictive Control for Safe Ultrasound-Image-Guided Robotic Spinal Surgery.
CoRR
Yunke Ao, Manish Prajapat, Yarden As, Yassine Taoudi-Benchekroun, Fabio Carrillo, Hooman Esfandiari, Benjamin F. Grewe, Andreas Krause, Philipp Fürnstahl
2025 J jnl
Safe Guaranteed Dynamics Exploration with Probabilistic Models.
CoRR
Manish Prajapat, Johannes Köhler, Melanie N. Zeilinger, Andreas Krause
2025 J jnl
Safe Guaranteed Exploration for Nonlinear Systems.
IEEE Trans. Autom. Control.
Manish Prajapat, Johannes Köhler, Matteo Turchetta, Andreas Krause, Melanie N. Zeilinger
2025 J jnl
SonoGym: High Performance Simulation for Challenging Surgical Tasks with Robotic Ultrasound.
CoRR
Yunke Ao, Masoud Moghani, Mayank Mittal, Manish Prajapat, Luohong Wu, Frédéric H. Giraud, Fabio Carrillo, Andreas Krause, Philipp Fürnstahl
2025 J jnl
Stochastic Model Predictive Control for Sub-Gaussian Noise.
CoRR
Yunke Ao, Johannes Köhler, Manish Prajapat, Yarden As, Melanie Nicole Zeilinger, Philipp Fürnstahl, Andreas Krause
2024 A* conf
Global Reinforcement Learning : Beyond Linear and Convex Rewards via Submodular Semi-gradient Methods.
ICML
Riccardo De Santi, Manish Prajapat, Andreas Krause
2024 J jnl
Global Reinforcement Learning: Beyond Linear and Convex Rewards via Submodular Semi-gradient Methods.
CoRR
Riccardo De Santi, Manish Prajapat, Andreas Krause
2024 J jnl
SMART: Self-learning Meta-strategy Agent for Reasoning Tasks.
CoRR
Rongxing Liu, Kumar Shridhar, Manish Prajapat, Patrick Xia, Mrinmaya Sachan
2024 J jnl
Safe Guaranteed Exploration for Non-linear Systems.
CoRR
Manish Prajapat, Johannes Köhler, Matteo Turchetta, Andreas Krause, Melanie N. Zeilinger
2024 A* conf
Submodular Reinforcement Learning.
ICLR
Manish Prajapat, Mojmir Mutny, Melanie N. Zeilinger, Andreas Krause
2024 — conf
Towards safe and tractable Gaussian process-based MPC: Efficient sampling within a sequential quadratic programming framework.
CDC
Manish Prajapat, Amon Lahr, Johannes Köhler, Andreas Krause, Melanie N. Zeilinger
2024 J jnl
Towards safe and tractable Gaussian process-based MPC: Efficient sampling within a sequential quadratic programming framework.
CoRR
Manish Prajapat, Amon Lahr, Johannes Köhler, Andreas Krause, Melanie N. Zeilinger
2023 J jnl
Submodular Reinforcement Learning.
CoRR
Manish Prajapat, Mojmír Mutný, Melanie N. Zeilinger, Andreas Krause
2022 A* conf
Near-Optimal Multi-Agent Learning for Safe Coverage Control.
NeurIPS
Manish Prajapat, Matteo Turchetta, Melanie N. Zeilinger, Andreas Krause
2022 J jnl
Near-Optimal Multi-Agent Learning for Safe Coverage Control.
CoRR
Manish Prajapat, Matteo Turchetta, Melanie N. Zeilinger, Andreas Krause
2021 A conf
Competitive policy optimization.
UAI
Manish Prajapat, Kamyar Azizzadenesheli, Alexander Liniger, Yisong Yue, Anima Anandkumar
2020 J jnl
AMZ Driverless: The full autonomous racing system.
J. Field Robotics
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
2020 J jnl
Competitive Policy Optimization.
CoRR
Manish Prajapat, Kamyar Azizzadenesheli, Alexander Liniger, Yisong Yue, Anima Anandkumar
2019 J jnl
AMZ Driverless: The Full Autonomous Racing System.
CoRR
Juraj Kabzan, Miguel de la Iglesia Valls, Victor 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
2019 A* conf
Redundant Perception and State Estimation for Reliable Autonomous Racing.
ICRA
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
2018 J jnl
Redundant Perception and State Estimation for Reliable Autonomous Racing.
CoRR
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