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ORCIDManish Prajapat
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2020 – today
- 2025
[j3]Albert Gassol Puigjaner
, Manish Prajapat, Andrea Carron, Andreas Krause, Melanie N. Zeilinger:
Performance-Driven Constrained Optimal Auto-Tuner for MPC. IEEE Robotics Autom. Lett. 10(5): 4698-4705 (2025)- [j2]Manish Prajapat, Johannes Köhler, Matteo Turchetta, Andreas Krause, Melanie N. Zeilinger:
Safe Guaranteed Exploration for Nonlinear Systems. IEEE Trans. Autom. Control. 70(8): 5333-5348 (2025) - [i15]Albert Gassol Puigjaner, Manish Prajapat, Andrea Carron, Andreas Krause, Melanie N. Zeilinger:
Performance-driven Constrained Optimal Auto-Tuner for MPC. CoRR abs/2503.07127 (2025) - [i14]Yunke Ao, Johannes Köhler, Manish Prajapat, Yarden As, Melanie Nicole Zeilinger, Philipp Fürnstahl, Andreas Krause:
Stochastic Model Predictive Control for Sub-Gaussian Noise. CoRR abs/2503.08795 (2025) - [i13]Manish Prajapat, Johannes Köhler, Amon Lahr, Andreas Krause, Melanie N. Zeilinger:
Finite-Sample-Based Reachability for Safe Control with Gaussian Process Dynamics. CoRR abs/2505.07594 (2025) - [i12]Yunke Ao, Masoud Moghani, Mayank Mittal, Manish Prajapat, Luohong Wu, Frédéric H. Giraud, Fabio Carrillo, Andreas Krause, Philipp Fürnstahl:
SonoGym: High Performance Simulation for Challenging Surgical Tasks with Robotic Ultrasound. CoRR abs/2507.01152 (2025) - [i11]Yunke Ao, Manish Prajapat, Yarden As, Yassine Taoudi-Benchekroun, Fabio Carrillo, Hooman Esfandiari, Benjamin F. Grewe, Andreas Krause, Philipp Fürnstahl:
Robust-Sub-Gaussian Model Predictive Control for Safe Ultrasound-Image-Guided Robotic Spinal Surgery. CoRR abs/2508.06744 (2025) - [i10]Manish Prajapat, Johannes Köhler, Melanie N. Zeilinger, Andreas Krause:
Safe Guaranteed Dynamics Exploration with Probabilistic Models. CoRR abs/2509.16650 (2025) - 2024
- [c6]Manish Prajapat, Amon Lahr, Johannes Köhler, Andreas Krause, Melanie N. Zeilinger:
Towards safe and tractable Gaussian process-based MPC: Efficient sampling within a sequential quadratic programming framework. CDC 2024: 7458-7465 - [c5]Manish Prajapat, Mojmir Mutny, Melanie N. Zeilinger, Andreas Krause:
Submodular Reinforcement Learning. ICLR 2024 - [c4]Riccardo De Santi, Manish Prajapat, Andreas Krause:
Global Reinforcement Learning : Beyond Linear and Convex Rewards via Submodular Semi-gradient Methods. ICML 2024 - [i9]Manish Prajapat, Johannes Köhler, Matteo Turchetta, Andreas Krause, Melanie N. Zeilinger:
Safe Guaranteed Exploration for Non-linear Systems. CoRR abs/2402.06562 (2024) - [i8]Riccardo De Santi, Manish Prajapat, Andreas Krause:
Global Reinforcement Learning: Beyond Linear and Convex Rewards via Submodular Semi-gradient Methods. CoRR abs/2407.09905 (2024) - [i7]Manish Prajapat, Amon Lahr, Johannes Köhler, Andreas Krause, Melanie N. Zeilinger:
Towards safe and tractable Gaussian process-based MPC: Efficient sampling within a sequential quadratic programming framework. CoRR abs/2409.08616 (2024) - [i6]Rongxing Liu, Kumar Shridhar, Manish Prajapat, Patrick Xia, Mrinmaya Sachan:
SMART: Self-learning Meta-strategy Agent for Reasoning Tasks. CoRR abs/2410.16128 (2024) - 2023
- [i5]Manish Prajapat, Mojmír Mutný, Melanie N. Zeilinger, Andreas Krause:
Submodular Reinforcement Learning. CoRR abs/2307.13372 (2023) - 2022
- [c3]Manish Prajapat, Matteo Turchetta, Melanie N. Zeilinger, Andreas Krause:
Near-Optimal Multi-Agent Learning for Safe Coverage Control. NeurIPS 2022 - [i4]Manish Prajapat, Matteo Turchetta, Melanie N. Zeilinger, Andreas Krause:
Near-Optimal Multi-Agent Learning for Safe Coverage Control. CoRR abs/2210.06380 (2022) - 2021
- [c2]Manish Prajapat, Kamyar Azizzadenesheli, Alexander Liniger, Yisong Yue, Anima Anandkumar:
Competitive policy optimization. UAI 2021: 64-74 - 2020
- [j1]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:
AMZ Driverless: The full autonomous racing system. J. Field Robotics 37(7): 1267-1294 (2020) - [i3]Manish Prajapat, Kamyar Azizzadenesheli, Alexander Liniger, Yisong Yue, Anima Anandkumar:
Competitive Policy Optimization. CoRR abs/2006.10611 (2020)
2010 – 2019
- 2019
- [c1]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:
Redundant Perception and State Estimation for Reliable Autonomous Racing. ICRA 2019: 6561-6567 - [i2]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:
AMZ Driverless: The Full Autonomous Racing System. CoRR abs/1905.05150 (2019) - 2018
- [i1]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:
Redundant Perception and State Estimation for Reliable Autonomous Racing. CoRR abs/1809.10099 (2018)
Coauthor Index
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