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ORCIDMaxim Likhachev
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- affiliation: CMU, Robotics Institute, Pittsburgh, PA, USA
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2020 – today
- 2024
[c179]Yorai Shaoul, Itamar Mishani, Maxim Likhachev, Jiaoyang Li:
Accelerating Search-Based Planning for Multi-Robot Manipulation by Leveraging Online-Generated Experiences. ICAPS 2024: 523-531- [c178]Rishi Veerapaneni, Qian Wang, Kevin Ren, Arthur Jakobsson, Jiaoyang Li, Maxim Likhachev:
Improving Learnt Local MAPF Policies with Heuristic Search. ICAPS 2024: 597-606 - [c177]Qian Wang, Rishi Veerapaneni, Yu Wu, Jiaoyang Li, Maxim Likhachev:
MAPF in 3D Warehouses: Dataset and Analysis. ICAPS 2024: 623-632 - [c176]Itamar Mishani, Hayden Feddock, Maxim Likhachev:
Constant-time Motion Planning with Anytime Refinement for Manipulation. ICRA 2024: 10337-10343 - [c175]Dhruv Mauria Saxena, Maxim Likhachev:
Improved M4M: Faster and Richer Planning for Manipulation Among Movable Objects in Cluttered 3D Workspaces. ICRA 2024: 10902-10909 - [c174]Ramkumar Natarajan, Hanlan Yang, Qintong Xie, Yash Oza, Manash Pratim Das, Fahad Islam, Muhammad Suhail Saleem, Howie Choset, Maxim Likhachev:
Preprocessing-based Kinodynamic Motion Planning Framework for Intercepting Projectiles using a Robot Manipulator. ICRA 2024: 10910-10916 - [c173]Yorai Shaoul, Rishi Veerapaneni, Maxim Likhachev, Jiaoyang Li:
Unconstraining Multi-Robot Manipulation: Enabling Arbitrary Constraints in ECBS with Bounded Sub-Optimality. SOCS 2024: 109-117 - [c172]Rishi Veerapaneni, Jonathan Park, Muhammad Suhail Saleem, Maxim Likhachev:
A Data Efficient Framework for Learning Local Heuristics. SOCS 2024: 223-227 - [c171]Yu Wu, Rishi Veerapaneni, Jiaoyang Li, Maxim Likhachev:
From Space-Time to Space-Order: Directly Planning a Temporal Planning Graph by Redefining CBS (Extended Abstract). SOCS 2024: 293-294 - [i50]Ramkumar Natarajan, Hanlan Yang, Qintong Xie, Yash Oza, Manash Pratim Das, Fahad Islam, Muhammad Suhail Saleem, Howie Choset, Maxim Likhachev:
Preprocessing-based Kinodynamic Motion Planning Framework for Intercepting Projectiles using a Robot Manipulator. CoRR abs/2401.08022 (2024) - [i49]Ramkumar Natarajan, Shohin Mukherjee, Howie Choset, Maxim Likhachev:
PINSAT: Parallelized Interleaving of Graph Search and Trajectory Optimization for Kinodynamic Motion Planning. CoRR abs/2401.08948 (2024) - [i48]Rishi Veerapaneni, Qian Wang, Kevin Ren, Arthur Jakobsson, Jiaoyang Li, Maxim Likhachev:
Improving Learnt Local MAPF Policies with Heuristic Search. CoRR abs/2403.20300 (2024) - [i47]Yorai Shaoul, Itamar Mishani, Maxim Likhachev, Jiaoyang Li:
Accelerating Search-Based Planning for Multi-Robot Manipulation by Leveraging Online-Generated Experiences. CoRR abs/2404.00143 (2024) - [i46]Rishi Veerapaneni, Jonathan Park, Muhammad Suhail Saleem, Maxim Likhachev:
A Data Efficient Framework for Learning Local Heuristics. CoRR abs/2404.06728 (2024) - [i45]Yu Wu, Rishi Veerapaneni, Jiaoyang Li, Maxim Likhachev:
From Space-Time to Space-Order: Directly Planning a Temporal Planning Graph by Redefining CBS. CoRR abs/2404.15137 (2024) - [i44]Yorai Shaoul, Rishi Veerapaneni, Maxim Likhachev, Jiaoyang Li:
Unconstraining Multi-Robot Manipulation: Enabling Arbitrary Constraints in ECBS with Bounded Sub-Optimality. CoRR abs/2405.01772 (2024) - [i43]Muhammad Suhail Saleem, Rishi Veerapaneni, Maxim Likhachev:
A preprocessing-based planning framework for utilizing contacts in high-precision insertion tasks. CoRR abs/2406.05522 (2024) - 2023
- [j32]Muhammad Suhail Saleem
, Rishi Veerapaneni, Maxim Likhachev:
Preprocessing-Based Planning for Utilizing Contacts in Semi-Structured High-Precision Insertion Tasks. IEEE Robotics Autom. Lett. 8(11): 6947-6954 (2023) - [c170]Rishi Veerapaneni, Tushar Kusnur, Maxim Likhachev:
Effective Integration of Weighted Cost-to-Go and Conflict Heuristic within Suboptimal CBS. AAAI 2023: 11691-11698 - [c169]Mohammad Bakhshalipour, Mohamad Qadri, Dominic Guri, Seyed Borna Ehsani, Maxim Likhachev, Phillip B. Gibbons:
Runahead A*: Speculative Parallelism for A* with Slow Expansions. ICAPS 2023: 31-41 - [c168]Rishi Veerapaneni, Muhammad Suhail Saleem, Maxim Likhachev:
Learning Local Heuristics for Search-Based Navigation Planning. ICAPS 2023: 634-638 - [c167]Dhruv Saxena, Maxim Likhachev:
Planning for Manipulation among Movable Objects: Deciding Which Objects Go Where, in What Order, and How. ICAPS 2023: 668-676 - [c166]Shivam Vats, Maxim Likhachev, Oliver Kroemer:
Efficient Recovery Learning using Model Predictive Meta-Reasoning. ICRA 2023: 7258-7264 - [c165]Ellis Ratner, Claire J. Tomlin, Maxim Likhachev:
Operating with Inaccurate Models by Integrating Control-Level Discrepancy Information into Planning. ICRA 2023: 7823-7829 - [c164]Dhruv Mauria Saxena, Maxim Likhachev:
Planning for Complex Non-prehensile Manipulation Among Movable Objects by Interleaving Multi-Agent Pathfinding and Physics-Based Simulation. ICRA 2023: 8141-8147 - [c163]Ramkumar Natarajan, Garrison L. H. Johnston, Nabil Simaan, Maxim Likhachev, Howie Choset:
Torque-Limited Manipulation Planning through Contact by Interleaving Graph Search and Trajectory Optimization. ICRA 2023: 8148-8154 - [c162]Shohin Mukherjee, Maxim Likhachev:
GePA*SE: Generalized Edge-Based Parallel A* for Slow Evaluations. SOCS 2023: 153-157 - [c161]Hanlan Yang, Shohin Mukherjee, Maxim Likhachev:
A-ePA*SE: Anytime Edge-Based Parallel A* for Slow Evaluations. SOCS 2023: 163-167 - [i42]Shohin Mukherjee, Maxim Likhachev:
GePA*SE: Generalized Edge-Based Parallel A* for Slow Evaluations. CoRR abs/2301.10347 (2023) - [i41]Rishi Veerapaneni, Muhammad Suhail Saleem, Maxim Likhachev:
Learning Local Heuristics for Search-Based Navigation Planning. CoRR abs/2303.09477 (2023) - [i40]Dhruv Mauria Saxena, Maxim Likhachev:
Planning for Complex Non-prehensile Manipulation Among Movable Objects by Interleaving Multi-Agent Pathfinding and Physics-Based Simulation. CoRR abs/2303.13352 (2023) - [i39]Dhruv Saxena, Maxim Likhachev:
Planning for Manipulation among Movable Objects: Deciding Which Objects Go Where, in What Order, and How. CoRR abs/2303.13385 (2023) - [i38]Hanlan Yang, Shohin Mukherjee, Maxim Likhachev:
A-ePA*SE: Anytime Edge-Based Parallel A* for Slow Evaluations. CoRR abs/2305.04408 (2023) - [i37]Itamar Mishani, Hayden Feddock, Maxim Likhachev:
Constant-time Motion Planning with Anytime Refinement for Manipulation. CoRR abs/2311.00837 (2023) - 2022
- [j31]Chad C. Kessens, Matthew Kaplan, Trevor Rocks, Philip R. Osteen, John G. Rogers, Ethan Stump, Arnon Hurwitz, Jonathan Fink, Long Quang, Mark Gonzalez, Jaymit Patel, Michael Diblasi, Shiyani Patel, Matthew Weiker, Dilip Patel, Joseph Bowkett, Renaud Detry, Sisir Karumanchi, Larry H. Matthies, Joel Burdick, Yash Oza, Aditya Agarwal, Andrew Dornbush, Dhruv Saxena, Maxim Likhachev, Karl Schmeckpeper, Kostas Daniilidis, Ajinkya Kamat, Aditya Mandalika, Sanjiban Choudhury, Siddhartha S. Srinivasa:
Human-Scale Mobile Manipulation Using RoMan. Field Robotics 2(1): 1232-1262 (2022) - [j30]Zhongqiang Ren, Sivakumar Rathinam, Maxim Likhachev, Howie Choset:
Multi-Objective Path-Based D* Lite. IEEE Robotics Autom. Lett. 7(2): 3318-3325 (2022) - [j29]Shohin Mukherjee, Sandip Aine, Maxim Likhachev:
MPLP: Massively Parallelized Lazy Planning. IEEE Robotics Autom. Lett. 7(3): 6067-6074 (2022) - [j28]Zhongqiang Ren, Sivakumar Rathinam, Maxim Likhachev, Howie Choset:
Multi-Objective Safe-Interval Path Planning With Dynamic Obstacles. IEEE Robotics Autom. Lett. 7(3): 8154-8161 (2022) - [c160]Aidan Wagner, Rishi Veerapaneni, Maxim Likhachev:
Minimizing Coordination in Multi-Agent Path Finding with Dynamic Execution. AIIDE 2022: 61-69 - [c159]Guru Koushik Senthil Kumar, Sandip Aine, Maxim Likhachev:
Euclidean Distance-Optimal Post-processing of Grid-Based Paths. ICAPS 2022: 321-328 - [c158]Tushar Kusnur, Maxim Likhachev:
Complete, Decomposition-Free Coverage Path Planning. CASE 2022: 1431-1437 - [c157]Shivam Vats, Oliver Kroemer, Maxim Likhachev:
Synergistic Scheduling of Learning and Allocation of Tasks in Human-Robot Teams. ICRA 2022: 2789-2795 - [c156]Dhruv Mauria Saxena, Tushar Kusnur, Maxim Likhachev:
AMRA*: Anytime Multi-Resolution Multi-Heuristic A. ICRA 2022: 3371-3377 - [c155]Nader Maray, Anirudh Vemula, Maxim Likhachev:
Improved Soft Duplicate Detection in Search-Based Motion Planning. ICRA 2022: 5792-5798 - [c154]Mohammad Bakhshalipour, Seyed Borna Ehsani, Mohamad Qadri, Dominic Guri, Maxim Likhachev, Phillip B. Gibbons:
RACOD: algorithm/hardware co-design for mobile robot path planning. ISCA 2022: 597-609 - [c153]Mohammad Bakhshalipour, Maxim Likhachev, Phillip B. Gibbons:
RTRBench: A Benchmark Suite for Real-Time Robotics. ISPASS 2022: 175-186 - [c152]Anirudh Vemula, Wen Sun, Maxim Likhachev, J. Andrew Bagnell:
On the Effectiveness of Iterative Learning Control. L4DC 2022: 47-58 - [c151]Manash Pratim Das, Damon M. Conover, Sungmin Eum, Heesung Kwon, Maxim Likhachev:
MA3: Model-Accuracy Aware Anytime Planning with Simulation Verification for Navigating Complex Terrains. SOCS 2022: 65-73 - [c150]Shohin Mukherjee, Sandip Aine, Maxim Likhachev:
ePA*SE: Edge-Based Parallel A* for Slow Evaluations. SOCS 2022: 136-144 - [c149]Zhongqiang Ren, Richard Zhan, Sivakumar Rathinam, Maxim Likhachev, Howie Choset:
Enhanced Multi-Objective A* Using Balanced Binary Search Trees. SOCS 2022: 162-170 - [c148]Rishi Veerapaneni, Tushar Kusnur, Maxim Likhachev:
Effectively Incorporating Weighted Cost-to-go Heuristic in Suboptimal CBS (Extended Abstract). SOCS 2022: 326-328 - [i36]Zhongqiang Ren, Sivakumar Rathinam, Maxim Likhachev, Howie Choset:
Enhanced Multi-Objective A* Using Balanced Binary Search Trees. CoRR abs/2202.08992 (2022) - [i35]Shohin Mukherjee, Sandip Aine, Maxim Likhachev:
ePA*SE: Edge-based Parallel A* for Slow Evaluations. CoRR abs/2203.01369 (2022) - [i34]Shivam Vats, Oliver Kroemer, Maxim Likhachev:
Synergistic Scheduling of Learning and Allocation of Tasks in Human-Robot Teams. CoRR abs/2203.07478 (2022) - [i33]Rishi Veerapaneni, Tushar Kusnur, Maxim Likhachev:
Effectively Incorporating Weighted Cost-to-go Heuristic in Suboptimal CBS. CoRR abs/2205.11624 (2022) - [i32]Rishi Veerapaneni, Maxim Likhachev:
Non-Blocking Batch A* (Technical Report). CoRR abs/2208.07031 (2022) - [i31]Shivam Vats, Maxim Likhachev, Oliver Kroemer:
Efficiently Learning Recoveries from Failures Under Partial Observability. CoRR abs/2209.13605 (2022) - [i30]Ramkumar Natarajan, Garrison L. H. Johnston, Nabil Simaan, Maxim Likhachev, Howie Choset:
Torque-Limited Manipulation Planning through Contact by Interleaving Graph Search and Trajectory Optimization. CoRR abs/2210.08627 (2022) - 2021
- [j27]Aditya Agarwal, Yash Oza, Maxim Likhachev, Chad C. Kessens:
Fast and High-Quality, GPU-based, Deliberative, Object-Pose Estimation. Field Robotics 1(1): 34-69 (2021) - [j26]Fahad Islam, Oren Salzman, Aditya Agarwal, Maxim Likhachev:
Provably constant-time planning and replanning for real-time grasping objects off a conveyor belt. Int. J. Robotics Res. 40(12-14): 1370-1384 (2021) - [j25]Ramkumar Natarajan, Howie Choset, Maxim Likhachev:
Interleaving Graph Search and Trajectory Optimization for Aggressive Quadrotor Flight. IEEE Robotics Autom. Lett. 6(3): 5357-5364 (2021) - [j24]Anahita Mohseni-Kabir, Manuela Veloso, Maxim Likhachev:
Optimal Planning Over Long and Infinite Horizons for Achieving Independent Partially-Observable Tasks That Evolve Over Time. IEEE Robotics Autom. Lett. 6(3): 5873-5880 (2021) - [c147]Anirudh Vemula, J. Andrew Bagnell, Maxim Likhachev:
CMAX++ : Leveraging Experience in Planning and Execution using Inaccurate Models. AAAI 2021: 6147-6155 - [c146]Jasmeet Kaur, Ishani Chatterjee, Maxim Likhachev:
Speeding Up Search-Based Motion Planning using Expansion Delay Heuristics. ICAPS 2021: 528-532 - [c145]Tushar Kusnur, Dhruv Mauria Saxena, Maxim Likhachev:
Search-based Planning for Active Sensing in Goal-Directed Coverage Tasks. ICRA 2021: 15-21 - [c144]Fahad Islam, Chris Paxton, Clemens Eppner, Bryan Peele, Maxim Likhachev, Dieter Fox:
Alternative Paths Planner (APP) for Provably Fixed-time Manipulation Planning in Semi-structured Environments. ICRA 2021: 6534-6540 - [c143]Dhruv Mauria Saxena, Muhammad Suhail Saleem, Maxim Likhachev:
Manipulation Planning Among Movable Obstacles Using Physics-Based Adaptive Motion Primitives. ICRA 2021: 6570-6576 - [c142]Paritosh Kelkar, Parth Chopra, Savio Pereira, Dan DeLano, Aaron Miller, Kyungzun Rim, Samer Rajab, Jonathan Butzke, Maxim Likhachev:
Affordable Autonomy through Cooperative Sensing and Planning. ICRA 2021: 9022-9028 - [c141]Sandip Aine, Yash Oza, Maxim Likhachev:
Disruption-Limited Planning for Robot Navigation in Dynamic Environments. IROS 2021: 377-383 - [c140]Shohin Mukherjee, Chris Paxton, Arsalan Mousavian, Adam Fishman, Maxim Likhachev, Dieter Fox:
Reactive Long Horizon Task Execution via Visual Skill and Precondition Models. IROS 2021: 5717-5724 - [c139]Ishani Chatterjee, Yash Oza, Maxim Likhachev, Manuela Veloso:
Search-based Planning with Learned Behaviors for Navigation among Pedestrians. IROS 2021: 7953-7960 - [c138]Muhammad Suhail Saleem, Raghav Sood, Sho Onodera, Rohit Arora, Hiroyuki Kanazawa, Maxim Likhachev:
Search-based Path Planning for a High Dimensional Manipulator in Cluttered Environments Using Optimization-based Primitives. IROS 2021: 8301-8308 - [c137]Ishani Chatterjee, Tushar Kusnur, Maxim Likhachev:
Fast Bounded Suboptimal Probabilistic Planning with Clear Preferences on Missing Information. SOCS 2021: 37-45 - [i29]Fahad Islam, Oren Salzman, Aditya Agarwal, Maxim Likhachev:
Provably Constant-time Planning and Replanning for Real-time Grasping Objects off a Conveyor Belt. CoRR abs/2101.07148 (2021) - [i28]Ramkumar Natarajan, Howie Choset, Maxim Likhachev:
Interleaving Graph Search and Trajectory Optimization for Aggressive Quadrotor Flight. CoRR abs/2101.12548 (2021) - [i27]Dhruv Mauria Saxena, Muhammad Suhail Saleem, Maxim Likhachev:
Manipulation Planning Among Movable Obstacles Using Physics-Based Adaptive Motion Primitives. CoRR abs/2102.04324 (2021) - [i26]Anahita Mohseni-Kabir, Manuela Veloso, Maxim Likhachev:
Theory and Analysis of Optimal Planning over Long and Infinite Horizons for Achieving Independent Partially-Observable Tasks that Evolve over Time. CoRR abs/2102.12633 (2021) - [i25]Guru Koushik Senthil Kumar, Sandip Aine, Maxim Likhachev:
Euclidean Distance-Optimal Post-Processing of Grid-Based Paths. CoRR abs/2105.03833 (2021) - [i24]Manash Pratim Das, Anirudh Vemula, Mayank Pathak, Sandip Aine, Maxim Likhachev:
Learning Optimal Decision Making for an Industrial Truck Unloading Robot using Minimal Simulator Runs. CoRR abs/2105.05019 (2021) - [i23]Anahita Mohseni-Kabir, Manuela Veloso, Maxim Likhachev:
Waiting Tables as a Robot Planning Problem. CoRR abs/2105.10133 (2021) - [i22]Shohin Mukherjee, Sandip Aine, Maxim Likhachev:
MPLP: Massively Parallelized Lazy Planning. CoRR abs/2107.02826 (2021) - [i21]Muhammad Suhail Saleem, Raghav Sood, Sho Onodera, Rohit Arora, Hiroyuki Kanazawa, Maxim Likhachev:
Search-based Path Planning for a High Dimensional Manipulator in Cluttered Environments Using Optimization-based Primitives. CoRR abs/2107.02829 (2021) - [i20]Nader Maray, Anirudh Vemula, Maxim Likhachev:
Improved Soft Duplicate Detection in Search-Based Motion Planning. CoRR abs/2109.12427 (2021) - [i19]Dhruv Mauria Saxena, Tushar Kusnur, Maxim Likhachev:
AMRA*: Anytime Multi-Resolution Multi-Heuristic A. CoRR abs/2110.05328 (2021) - [i18]Anirudh Vemula, Wen Sun, Maxim Likhachev, J. Andrew Bagnell:
On the Effectiveness of Iterative Learning Control. CoRR abs/2111.09434 (2021) - 2020
- [j23]Vinitha Ranganeni, Sahit Chintalapudi, Oren Salzman, Maxim Likhachev:
Effective footstep planning using homotopy-class guidance. Artif. Intell. 286: 103346 (2020) - [j22]Dina Youakim, Patryk Cieslak, Andrew Dornbush, Albert Palomer, Pere Ridao, Maxim Likhachev:
Multirepresentation, Multiheuristic A* search-based motion planning for a free-floating underwater vehicle-manipulator system in unknown environment. J. Field Robotics 37(6): 925-950 (2020) - [c136]Anahita Mohseni-Kabir, Manuela Veloso, Maxim Likhachev:
Efficient Robot Planning for Achieving Multiple Independent Partially Observable Tasks That Evolve over Time. ICAPS 2020: 202-211 - [c135]Aaron Miller, Kyungzun Rim, Parth Chopra, Paritosh Kelkar, Maxim Likhachev:
Cooperative Perception and Localization for Cooperative Driving. ICRA 2020: 1256-1262 - [c134]Fahad Islam, Anirudh Vemula, Sung-Kyun Kim, Andrew Dornbush, Oren Salzman, Maxim Likhachev:
Planning, Learning and Reasoning Framework for Robot Truck Unloading. ICRA 2020: 5011-5017 - [c133]Dhruv Mauria Saxena, Sangjae Bae, Alireza Nakhaei, Kikuo Fujimura, Maxim Likhachev:
Driving in Dense Traffic with Model-Free Reinforcement Learning. ICRA 2020: 5385-5392 - [c132]Muhammad Suhail Saleem, Maxim Likhachev:
Planning with Selective Physics-based Simulation for Manipulation Among Movable Objects. ICRA 2020: 6752-6758 - [c131]Raghav Sood, Shivam Vats, Maxim Likhachev:
Learning to Use Adaptive Motion Primitives in Search-Based Planning for Navigation. IROS 2020: 6923-6929 - [c130]Aditya Agarwal, Yupeng Han, Maxim Likhachev:
PERCH 2.0 : Fast and Accurate GPU-based Perception via Search for Object Pose Estimation. IROS 2020: 10633-10640 - [c129]Fahad Islam, Oren Salzman, Aditya Agarwal, Maxim Likhachev:
Provably Constant-time Planning and Re-planning for Real-time Grasping Objects off a Conveyor Belt. Robotics: Science and Systems 2020 - [c128]Anirudh Vemula, Yash Oza, J. Andrew Bagnell, Maxim Likhachev:
Planning and Execution using Inaccurate Models with Provable Guarantees. Robotics: Science and Systems 2020 - [c127]Wei Du, Fahad Islam, Maxim Likhachev:
Multi-Resolution A. SOCS 2020: 29-37 - [i17]Anirudh Vemula, Yash Oza, J. Andrew Bagnell, Maxim Likhachev:
Planning and Execution using Inaccurate Models with Provable Guarantees. CoRR abs/2003.04394 (2020) - [i16]Muhammad Suhail Saleem, Maxim Likhachev:
Planning with Selective Physics-based Simulation for Manipulation Among Movable Objects. CoRR abs/2003.06743 (2020) - [i15]Fahad Islam, Oren Salzman, Aditya Agraval, Maxim Likhachev:
Provably Constant-Time Planning and Re-planning for Real-time Grasping Objects off a Conveyor. CoRR abs/2003.08517 (2020) - [i14]Wei Du, Fahad Islam, Maxim Likhachev:
Multi-Resolution A. CoRR abs/2004.06684 (2020) - [i13]Aditya Agarwal, Yupeng Han, Maxim Likhachev:
PERCH 2.0 : Fast and Accurate GPU-based Perception via Search for Object Pose Estimation. CoRR abs/2008.00326 (2020) - [i12]Anirudh Vemula, J. Andrew Bagnell, Maxim Likhachev:
CMAX++ : Leveraging Experience in Planning and Execution using Inaccurate Models. CoRR abs/2009.09942 (2020) - [i11]Tushar Kusnur, Dhruv Mauria Saxena, Maxim Likhachev:
Search-based Planning for Active Sensing in Goal-Directed Coverage Tasks. CoRR abs/2011.07383 (2020) - [i10]Shohin Mukherjee, Chris Paxton, Arsalan Mousavian, Adam Fishman, Maxim Likhachev, Dieter Fox:
Sim-to-Real Task Planning and Execution from Perception via Reactivity and Recovery. CoRR abs/2011.08694 (2020) - [i9]Fahad Islam, Chris Paxton, Clemens Eppner, Bryan Peele, Maxim Likhachev, Dieter Fox:
Alternative Paths Planner (APP) for Provably Fixed-time Manipulation Planning in Semi-structured Environments. CoRR abs/2012.14970 (2020)
2010 – 2019
- 2019
- [c126]Ishani Chatterjee, Maxim Likhachev, Ashwin Khadke, Manuela Veloso:
Speeding Up Search-Based Motion Planning via Conservative Heuristics. ICAPS 2019: 674-679 - [c125]Fahad Islam, Oren Salzman, Maxim Likhachev:
Provable Indefinite-Horizon Real-Time Planning for Repetitive Tasks. ICAPS 2019: 716-724 - [c124]Sung-Kyun Kim, Oren Salzman, Maxim Likhachev:
POMHDP: Search-Based Belief Space Planning Using Multiple Heuristics. ICAPS 2019: 734-744 - [c123]Tushar Kusnur, Shohin Mukherjee, Dhruv Mauria Saxena, Tomoya Fukami, Takayuki Koyama, Oren Salzman, Maxim Likhachev:
A Planning Framework for Persistent, Multi-UAV Coverage with Global Deconfliction. FSR 2019: 459-474 - [c122]Wei Du, Sung-Kyun Kim, Oren Salzman, Maxim Likhachev:
Escaping Local Minima in Search-Based Planning using Soft Duplicate Detection. IROS 2019: 2365-2371 - [c121]Allen Cheng, Dhruv Mauria Saxena, Maxim Likhachev:
Bidirectional Heuristic Search for Motion Planning with an Extend Operator. IROS 2019: 7425-7430 - [c120]Kalyan Vasudev Alwala, Margarita Safonova, Oren Salzman, Maxim Likhachev:
Intuitive, Reliable Plans with Contingencies: Planning with Safety Nets for Landmark-Based Routing. SOCS 2019: 2-9 - [c119]Ramkumar Natarajan, Muhammad Suhail Saleem, Sandip Aine, Maxim Likhachev, Howie Choset:
A-MHA*: Anytime Multi-Heuristic A. SOCS 2019: 192-193 - [i8]Fahad Islam, Oren Salzman, Maxim Likhachev:
Provable Infinite-Horizon Real-Time Planning for Repetitive Tasks. CoRR abs/1901.07698 (2019) - [i7]Tushar Kusnur, Shohin Mukherjee, Dhruv Mauria Saxena, Tomoya Fukami, Takayuki Koyama, Oren Salzman, Maxim Likhachev:
A Planning Framework for Persistent, Multi-UAV Coverage with Global Deconfliction. CoRR abs/1908.09236 (2019) - [i6]