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Motion planning involves determining a sequence of robot configurations to reach a desired pose, subject to movement and safety constraints.
“A formal basis for the heuristic determination of minimum cost paths”
Peter Hart, Nils Nilsson and Bertram Raphael · 1968
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“Randomized preprocessing of configuration for fast path planning”
L. Kavraki and J.-C. Latombe · 1994
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Steven LaValle · 1998
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“Navigation among movable obstacles: Real-time reasoning in complex environments”
Mike Stilman and James Kuffner · 2005
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“A Framework for Push-grasping in Clutter”
Mehmet. Dogar and Siddhartha. Srinivasa · 2011
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“Sampling-based algorithms for optimal motion planning”
Sertac Karaman and Emilio Frazzoli · 2011
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“Minimum constraint displacement motion planning.”
Kris Hauser · 2013
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“Finding locally optimal, collision-free trajectories with sequential convex optimization.”
John Schulman et al · 2013
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“Extrinsic Dexterity: In-Hand Manipulation with External Forces”
Nikhil Chavan-Dafle et al · 2014
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“Benchmarking in Manipulation Research: The YCB Object and Model Set and Benchmarking Protocols”
Berk Calli et al · 2015
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“Model predictive control for fast reaching in clutter”
Marc Killpack, Ariel Kapusta and Charles Kemp · 2016
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“End-to-end Training of Deep Visuomotor Policies”
Sergey Levine, Chelsea Finn, Trevor Darrell and Pieter Abbeel · 2016
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“Modern Robotics: Mechanics, Planning, and Control”
Kevin. Lynch and Frank. Park · 2017
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“Making Sense of Vision and Touch: Self-Supervised Learning of Multimodal Representations for Contact-Rich Tasks”
Michelle. Lee et al · 2019
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“PyBullet, a Python Module for Physics Simulation for Games, Robotics and Machine Learning”, http://pybullet.org , 2016–2020
Erwin Coumans and Yunfei Bai · 2020
Cited alongside, same era.
“Deep Reinforcement Learning for Industrial Insertion Tasks with Visual Inputs and Natural Rewards”
Gerrit Schoettler et al · 2020
Cited alongside, same era.
“Robotic lime picking by considering leaves as permeable obstacles”
Heramb Nemlekar et al · 2021
Cited alongside, same era.
“Learning Transferable Visual Models From Natural Language Supervision”
Alec Radford et al · 2021
Cited alongside, same era.
“Do as i can, not as i say: Grounding language in robotic affordances”
Michael Ahn et al · 2022
Cited alongside, same era.
“Learning to Grasp the Ungraspable with Emergent Extrinsic Dexterity”
“Semantically Safe Robot Manipulation: From Semantic Scene Understanding to Motion Safeguards”
Lukas Brunke et al · 2024
Later among the works it cites.
“Robot-assisted Inside-mouth Bite Transfer using Robust Mouth Perception and Physical Interaction-Aware Control”
Rajat Jenamani et al · 2024
Later among the works it cites.
“RAM: Retrieval-Based Affordance Transfer for Generalizable Zero-Shot Robotic Manipulation”
Yuxuan Kuang et al · 2024
Later among the works it cites.
“Moka: Open-vocabulary robotic manipulation through mark-based visual prompting”
Fangchen Liu, Kuan Fang, Pieter Abbeel and Sergey Levine · 2024
Later among the works it cites.
“Eureka: Human-Level Reward Design via Coding Large Language Models”
Yecheng Ma et al · 2024
Later among the works it cites.
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Wenxuan Zhou and David Held · 2022
Cited alongside, same era.
“PaLM-E: An Embodied Multimodal Language Model”
Danny Driess et al · 2023
Cited alongside, same era.
“Gemini: A Family of Highly Capable Multimodal Models”
Gemini Google · 2023
Cited alongside, same era.
“VoxPoser: Composable 3D Value Maps for Robotic Manipulation with Language Models”
Wenlong Huang et al · 2023
Cited alongside, same era.
“Code as policies: Language model programs for embodied control”
Jacky Liang et al · 2023
Cited alongside, same era.
“Progprompt: Generating situated robot task plans using large language models”
Ishika Singh et al · 2023
Cited alongside, same era.
“Roboclip: One demonstration is enough to learn robot policies”
Sumedh Sontakke et al · 2023
Cited alongside, same era.
“Lan-grasp: Using large language models for semantic object grasping”
Reihaneh Mirjalili et al · 2024
Later among the works it cites.
OpenAI et al · 2024
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“Sam 2: Segment anything in images and videos”
Nikhila Ravi et al · 2024
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“Grounded SAM: Assembling Open-World Models for Diverse Visual Tasks”, 2024
Tianhe Ren et al · 2024
Later among the works it cites.
“GenSim: Generating Robotic Simulation Tasks via Large Language Models”
Lirui Wang et al · 2024
Later among the works it cites.
“RL-VLM-F: Reinforcement Learning from Vision Language Foundation Model Feedback”
Yufei Wang et al · 2024
Later among the works it cites.
“Structured 3D Latents for Scalable and Versatile 3D Generation”
Jianfeng Xiang et al · 2024
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“PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding”
Wei Chow et al · 2025
Closest in time.
“Robotic Manipulation”, Course Notes for MIT 6.421, 2025
Russ Tedrake · 2025
Closest in time.