TAMP-paper-list

a paper list about task and motion planning(TAMP)

Survey

2018_Active_Path_Clearing_Navigation_through_Environment_Reconfiguration_in_Presence_of_Movable_Obstacles
2019_HRL4IN Hierarchical Reinforcement Learning for interactive navigation with mobile manipulators code
2019 Towards S-NAMO Socially-aware Navigation Among Movable Obstacles
2020 Modeling a Social Placement Cost to Extend Navigation Among Movable Obstacles (NAMO) Algor.pdf
2020_Affordance-Based_Mobile_Robot_Navigation_Among_Movable_Obstacles
2021_relmogen integrating motion generation in reinforcement learning for mobile manipulation
2021_Pushing It Out of the Way Interactive Visual Navigation code
2021 Representation, learning, and planning algorithms for geometric task and motion planning
2022 A hierarchical deliberative reactive system architecture for task and motion planning in partially known environment
2022 Navigation Among Movable Obstacles with Object Localization using Photorealistic Simulatio

2020 sparse graphical memory for robust planning website
2021 Reducing Collision Checking for Sampling-Based motion planning using GNN code
2021-no-rl-no-simulation-learning-to-navigate-without-navigating-Paper
2021-landmark-guided-subgoal-generation-in-hierarchical-reinforcement-learning-Paper
2019 Search on the Replay Buffer bridging planning and reinforcement learning
2018 Gated Path Planning Networks

2019_Dynamic window based approaches for avoiding obstacles in moving
2021_DWARL_Dynamically_Feasible_Deep_Reinforcement_Learning_Policy_for_Robot_Navigation_among_Mobile_Obstacles code
2021_NavRep Unsupervised Representations for Reinforcement Learning of robot navigation in dynamic human environment code

2007 FF-Replan A Baseline for Probabilistic Planning
2020 Online Replanning in belief space for partially observable task and motion problems code
2021 Learning Symbolic Operators for Task and Motion Planning code

2017 Hindsight experience replay
2019 Keeping Your Distance Solving Sparse Reward Tasks using selfbalancing shaped rewards
2020 Maximum Entropy Gain Exploration for long horizon multi-goal reinforcement learning
2021 Goal-Conditioned Reinforcement Learning with Imagined Subgoals
[review] 2022 Goal-Conditioned Reinforcement Learning Problems and Solutions

2018 active model learning and diverse action sampling for task and motion planning code
2019 Learning value functions with relational state representations for guiding task and motion planning
2020 deep visual reasoning learning to predict action sequences for task and motion planning from an initial scene image
2021 Learning compositional models of robot skills for task and motion planning code
2021 Discovering State and Action Abstractions for generalized task and motion planning

2022 A Generalist Agent website
2022 Do As I Can, Not As I Say: Grounding Language in Robotic Affordances website