Language-Conditioned Path Planning
暂无分享,去创建一个
[1] P. Abbeel,et al. Language Reward Modulation for Pretraining Reinforcement Learning , 2023, ArXiv.
[2] Beomjoon Kim,et al. Local object crop collision network for efficient simulation of non-convex objects in GPU-based simulators , 2023, Robotics: Science and Systems.
[3] D. Fox,et al. CabiNet: Scaling Neural Collision Detection for Object Rearrangement with Procedural Scene Generation , 2023, 2023 IEEE International Conference on Robotics and Automation (ICRA).
[4] P. Abbeel,et al. Multi-View Masked World Models for Visual Robotic Manipulation , 2023, ICML.
[5] Ali Farhadi,et al. Objaverse: A Universe of Annotated 3D Objects , 2022, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[6] Pannag R. Sanketi,et al. RT-1: Robotics Transformer for Real-World Control at Scale , 2022, Robotics: Science and Systems.
[7] P. Abbeel,et al. Sim-to-Real via Sim-to-Seg: End-to-end Off-road Autonomous Driving Without Real Data , 2022, CoRL.
[8] P. Abbeel,et al. Instruction-Following Agents with Multimodal Transformer , 2022, 2210.13431.
[9] Peter R. Florence,et al. Code as Policies: Language Model Programs for Embodied Control , 2022, 2023 IEEE International Conference on Robotics and Automation (ICRA).
[10] S. Levine,et al. Do As I Can, Not As I Say: Grounding Language in Robotic Affordances , 2022, CoRL.
[11] A. Zamir,et al. MultiMAE: Multi-modal Multi-task Masked Autoencoders , 2022, ECCV.
[12] Sergey Levine,et al. BC-Z: Zero-Shot Task Generalization with Robotic Imitation Learning , 2022, CoRL.
[13] Dongdong Chen,et al. CLIP-NeRF: Text-and-Image Driven Manipulation of Neural Radiance Fields , 2021, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[14] Dieter Fox,et al. CLIPort: What and Where Pathways for Robotic Manipulation , 2021, CoRL.
[15] Ilya Sutskever,et al. Learning Transferable Visual Models From Natural Language Supervision , 2021, ICML.
[16] George J. Pappas,et al. Perception-Based Temporal Logic Planning in Uncertain Semantic Maps , 2020, IEEE Transactions on Robotics.
[17] Yiqing Liang,et al. SSCNav: Confidence-Aware Semantic Scene Completion for Visual Semantic Navigation , 2020, 2021 IEEE International Conference on Robotics and Automation (ICRA).
[18] Dieter Fox,et al. Object Rearrangement Using Learned Implicit Collision Functions , 2020, 2021 IEEE International Conference on Robotics and Automation (ICRA).
[19] Shuran Song,et al. Learning a Decentralized Multi-arm Motion Planner , 2020, CoRL.
[20] Sean L. Bowman,et al. Reactive Semantic Planning in Unexplored Semantic Environments Using Deep Perceptual Feedback , 2020, IEEE Robotics and Automation Letters.
[21] Michael C. Yip,et al. Motion Planning Networks: Bridging the Gap Between Learning-Based and Classical Motion Planners , 2019, IEEE Transactions on Robotics.
[22] Andrew J. Davison,et al. PyRep: Bringing V-REP to Deep Robot Learning , 2019, ArXiv.
[23] Sergey Levine,et al. Sim-To-Real via Sim-To-Sim: Data-Efficient Robotic Grasping via Randomized-To-Canonical Adaptation Networks , 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[24] Andrew J. Davison,et al. Sim-to-Real Reinforcement Learning for Deformable Object Manipulation , 2018, CoRL.
[25] Michael C. Yip,et al. Motion Planning Networks , 2018, 2019 International Conference on Robotics and Automation (ICRA).
[26] Andrew J. Davison,et al. Transferring End-to-End Visuomotor Control from Simulation to Real World for a Multi-Stage Task , 2017, CoRL.
[27] Leonidas J. Guibas,et al. ShapeNet: An Information-Rich 3D Model Repository , 2015, ArXiv.
[28] Siddhartha S. Srinivasa,et al. The YCB object and Model set: Towards common benchmarks for manipulation research , 2015, 2015 International Conference on Advanced Robotics (ICAR).
[29] Pieter Abbeel,et al. Combined task and motion planning through an extensible planner-independent interface layer , 2014, 2014 IEEE International Conference on Robotics and Automation (ICRA).
[30] Pieter Abbeel,et al. Finding Locally Optimal, Collision-Free Trajectories with Sequential Convex Optimization , 2013, Robotics: Science and Systems.
[31] Maren Bennewitz,et al. Whole-body motion planning for manipulation of articulated objects , 2013, 2013 IEEE International Conference on Robotics and Automation.
[32] Emilio Frazzoli,et al. Sampling-based algorithms for optimal motion planning , 2011, Int. J. Robotics Res..
[33] P. Cochat,et al. Et al , 2008, Archives de pediatrie : organe officiel de la Societe francaise de pediatrie.
[34] Steven M. LaValle,et al. RRT-connect: An efficient approach to single-query path planning , 2000, Proceedings 2000 ICRA. Millennium Conference. IEEE International Conference on Robotics and Automation. Symposia Proceedings (Cat. No.00CH37065).
[35] Nancy M. Amato,et al. A randomized roadmap method for path and manipulation planning , 1996, Proceedings of IEEE International Conference on Robotics and Automation.
[36] Lydia E. Kavraki,et al. Randomized preprocessing of configuration for fast path planning , 1994, Proceedings of the 1994 IEEE International Conference on Robotics and Automation.
[37] Surya P. N. Singh,et al. V-REP: A versatile and scalable robot simulation framework , 2013, 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[38] S. LaValle. Rapidly-exploring random trees : a new tool for path planning , 1998 .
[39] Mark H. Overmars,et al. A random approach to motion planning , 1992 .
[40] and as an in , 2022 .