Motion Planning

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

1 leaderboard table shown for this task, 1 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

5 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Most implemented papers archive 2025-07-28

30 shown of 252 papers with code (920 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Complex-YOLO: Real-time 3D Object Detection on Point Clouds
  16 Mar 2018 10 repositories listed
  We introduce Complex-YOLO, a state of the art real-time 3D object detection network on point clouds only.
• Learning Latent Dynamics for Planning from Pixels
  12 Nov 2018 9 repositories listed Syntology ran 2 of 7 samples · 5 unverified · 1 pointer-only (licence)
  Planning has been very successful for control tasks with known environment dynamics.
• Motion Planning Among Dynamic, Decision-Making Agents with Deep Reinforcement Learning
  4 May 2018 6 repositories listed Syntology ran 0 of 6 samples · 6 unverified
  This work extends our previous approach to develop an algorithm that learns collision avoidance among a variety of types of dynamic agents without assuming they follow any particular behavior rules.
• SigmaRL: A Sample-Efficient and Generalizable Multi-Agent Reinforcement Learning Framework for Motion Planning
  14 Aug 2024 4 repositories listed
  Most RL agents exhibit a limited capacity to generalize, often focusing narrowly on specific scenarios, and are usually evaluated in similar or even the same scenarios seen during training.
• Formation Control for Connected and Automated Vehicles on Multi-lane Roads: Relative Motion Planning and Conflict Resolution
  18 Mar 2021 4 repositories listed
  Multi-vehicle coordinated decision making and control can improve traffic efficiency while guaranteeing driving safety.
• Neural Contraction Metrics for Robust Estimation and Control: A Convex Optimization Approach
  8 Jun 2020 4 repositories listed Syntology ran 2 of 17 samples · 15 unverified
  This paper presents a new deep learning-based framework for robust nonlinear estimation and control using the concept of a Neural Contraction Metric (NCM).
• Multimodal Trajectory Predictions for Autonomous Driving using Deep Convolutional Networks
  18 Sep 2018 4 repositories listed
  Autonomous driving presents one of the largest problems that the robotics and artificial intelligence communities are facing at the moment, both in terms of difficulty and potential societal impact.
• PDDLStream: Integrating Symbolic Planners and Blackbox Samplers via Optimistic Adaptive Planning
  23 Feb 2018 4 repositories listed Syntology ran 1 of 11 samples · 10 unverified · 1 pointer-only (licence)
  We extend PDDL to support a generic, declarative specification for these procedures that treats their implementation as black boxes.
• STRIPS Planning in Infinite Domains
  1 Jan 2017 4 repositories listed Syntology ran 1 of 5 samples · 4 unverified · 1 pointer-only (licence)
  We introduce STRIPStream: an extension of the STRIPS language which can model these domains by supporting the specification of blackbox generators to handle complex constraints.
• Neural Potential Field for Obstacle-Aware Local Motion Planning
  25 Oct 2023 3 repositories listed
  Experiment on Husky UGV mobile robot showed that our approach allows real-time and safe local planning.
• Parting with Misconceptions about Learning-based Vehicle Motion Planning
  13 Jun 2023 3 repositories listed
  The release of nuPlan marks a new era in vehicle motion planning research, offering the first large-scale real-world dataset and evaluation schemes requiring both precise short-term planning and long-horizon…
• AutoTAMP: Autoregressive Task and Motion Planning with LLMs as Translators and Checkers
  10 Jun 2023 3 repositories listed Syntology ran 1 of 1 samples · 0 unverified
  Rather than using LLMs to directly plan task sub-goals, we instead perform few-shot translation from natural language task descriptions to an intermediate task representation that can then be consumed by a TAMP…
• Efficient and High-quality Prehensile Rearrangement in Cluttered and Confined Spaces
  6 Oct 2021 3 repositories listed
  The new monotone solver is integrated with a global planner to solve non-monotone instances with high-quality solutions fast.
• EagerMOT: 3D Multi-Object Tracking via Sensor Fusion
  29 Apr 2021 3 repositories listed Syntology ran 0 of 4 samples · 4 unverified
  Multi-object tracking (MOT) enables mobile robots to perform well-informed motion planning and navigation by localizing surrounding objects in 3D space and time.
• One Thousand and One Hours: Self-driving Motion Prediction Dataset
  25 Jun 2020 3 repositories listed Syntology ran 0 of 12 samples · 12 unverified
  Motivated by the impact of large-scale datasets on ML systems we present the largest self-driving dataset for motion prediction to date, containing over 1, 000 hours of data.
• From Words to Collisions: LLM-Guided Evaluation and Adversarial Generation of Safety-Critical Driving Scenarios
  4 Feb 2025 2 repositories listed
  Ensuring the safety of autonomous vehicles requires virtual scenario-based testing, which depends on the robust evaluation and generation of safety-critical scenarios.
• GPD-1: Generative Pre-training for Driving
  11 Dec 2024 2 repositories listed
  We represent each scene with ego, agent, and map tokens and formulate autonomous driving as a unified token generation problem.
• DriveMLM: Aligning Multi-Modal Large Language Models with Behavioral Planning States for Autonomous Driving
  14 Dec 2023 2 repositories listed Syntology ran 2 of 2 samples · 0 unverified · 2 pointer-only (licence)
  In this work, we delve into the potential of large language models (LLMs) in autonomous driving (AD).
• Scene as Occupancy
  5 Jun 2023 2 repositories listed Syntology ran 0 of 1 samples · 1 unverified
  Human driver can easily describe the complex traffic scene by visual system.
• Geometric Algebra Transformer
  28 May 2023 2 repositories listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  In this paper we introduce the Geometric Algebra Transformer (GATr), a general-purpose architecture for geometric data.
• MTP-GO: Graph-Based Probabilistic Multi-Agent Trajectory Prediction with Neural ODEs
  1 Feb 2023 2 repositories listed
  Enabling resilient autonomous motion planning requires robust predictions of surrounding road users' future behavior.
• Diffusion-based Generation, Optimization, and Planning in 3D Scenes
  15 Jan 2023 2 repositories listed Syntology ran 5 of 5 samples · 0 unverified
  SceneDiffuser provides a unified model for solving scene-conditioned generation, optimization, and planning.
• [Reproducibility Report] Path Planning using Neural A* Search
  16 Jul 2022 2 repositories listed
  The following paper is a reproducibility report for "Path Planning using Neural A* Search" published in ICML2 2021 as part of the ML Reproducibility Challenge 2021.
• Lazy Rearrangement Planning in Confined Spaces
  19 Mar 2022 2 repositories listed
  Object rearrangement is important for many applications but remains challenging, especially in confined spaces, such as shelves, where objects cannot be accessed from above and they block reachability to each other.
• Intention Aware Robot Crowd Navigation with Attention-Based Interaction Graph
  3 Mar 2022 2 repositories listed
  We study the problem of safe and intention-aware robot navigation in dense and interactive crowds.
• Active Uncertainty Reduction for Human-Robot Interaction: An Implicit Dual Control Approach
  15 Feb 2022 2 repositories listed
  The ability to accurately predict human behavior is central to the safety and efficiency of robot autonomy in interactive settings.
• Towards real-world navigation with deep differentiable planners
  8 Aug 2021 2 repositories listed
  To avoid the potentially hazardous trial-and-error of reinforcement learning, we focus on differentiable planners such as Value Iteration Networks (VIN), which are trained offline from safe expert demonstrations.
• The ThreeDWorld Transport Challenge: A Visually Guided Task-and-Motion Planning Benchmark for Physically Realistic Embodied AI
  25 Mar 2021 2 repositories listed
  To complete the task, an embodied agent must plan a sequence of actions to change the state of a large number of objects in the face of realistic physical constraints.
• Grasp and Motion Planning for Dexterous Manipulation for the Real Robot Challenge
  8 Jan 2021 2 repositories listed
  This report describes our winning submission to the Real Robot Challenge (https://real-robot-challenge.
• Decentralized Structural-RNN for Robot Crowd Navigation with Deep Reinforcement Learning
  9 Nov 2020 2 repositories listed
  We demonstrate that our model outperforms previous methods in challenging crowd navigation scenarios.

Syntology lines on 12 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.