SOTAVerified

Motion Planning

( Image credit: Motion Planning Among Dynamic, Decision-Making Agents with Deep Reinforcement Learning )

Papers

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Showing 151–200 of 920 papers

TitleStatusHype
Multi-Robot Motion Planning with Diffusion ModelsCode2
A Schema-aware Logic Reformulation for Graph Reachability—0
Stochasticity in Motion: An Information-Theoretic Approach to Trajectory Prediction—0
Towards Generalizable Vision-Language Robotic Manipulation: A Benchmark and LLM-guided 3D PolicyCode2
LASMP: Language Aided Subset Sampling Based Motion PlannerCode0
ManiSkill3: GPU Parallelized Robotics Simulation and Rendering for Generalizable Embodied AICode7
COLLAGE: Collaborative Human-Agent Interaction Generation using Hierarchical Latent Diffusion and Language Models—0
Generalizability of Graph Neural Networks for Decentralized Unlabeled Motion Planning—0
GSON: A Group-based Social Navigation Framework with Large Multimodal Model—0
Dashing for the Golden Snitch: Multi-Drone Time-Optimal Motion Planning with Multi-Agent Reinforcement LearningCode1
Blox-Net: Generative Design-for-Robot-Assembly Using VLM Supervision, Physics Simulation, and a Robot with Reset—0
Fast End-to-End Generation of Belief Space Paths for Minimum Sensing Navigation—0
RenderWorld: World Model with Self-Supervised 3D Label—0
Neural MP: A Generalist Neural Motion Planner—0
Interpretable Responsibility Sharing as a Heuristic for Task and Motion PlanningCode0
KiloBot: A Programming Language for Deploying Perception-Guided Industrial Manipulators at Scale—0
OccLLaMA: An Occupancy-Language-Action Generative World Model for Autonomous Driving—0
Fast and Modular Autonomy Software for Autonomous Racing Vehicles—0
ViIK: Flow-based Vision Inverse Kinematics Solver with Fusing Collision CheckingCode0
Target-Oriented Object Grasping via Multimodal Human Guidance—0
Edge-Cloud Collaborative Motion Planning for Autonomous Driving with Large Language Models—0
SigmaRL: A Sample-Efficient and Generalizable Multi-Agent Reinforcement Learning Framework for Motion PlanningCode4
A Meta-Engine Framework for Interleaved Task and Motion Planning using Topological Refinements—0
PLANRL: A Motion Planning and Imitation Learning Framework to Bootstrap Reinforcement Learning—0
Analysis of Functional Insufficiencies and Triggering Conditions to Improve the SOTIF of an MPC-based Trajectory Planner—0
DEF-oriCORN: efficient 3D scene understanding for robust language-directed manipulation without demonstrations—0
PP-TIL: Personalized Planning for Autonomous Driving with Instance-based Transfer Imitation LearningCode1
Flatness-based motion planning for a non-uniform moving cantilever Euler-Bernoulli beam with a tip-mass—0
Trajectory Planning Using Tire Thermodynamics for Automated Drifting—0
Communication- and Computation-Efficient Distributed Submodular Optimization in Robot Mesh NetworksCode0
Enhanced Safety in Autonomous Driving: Integrating Latent State Diffusion Model for End-to-End Navigation—0
Affordances-Oriented Planning using Foundation Models for Continuous Vision-Language Navigation—0
Potential Based Diffusion Motion Planning—0
Provably Efficient Long-Horizon Exploration in Monte Carlo Tree Search through State Occupancy Regularization—0
Solving Motion Planning Tasks with a Scalable Generative ModelCode2
Cloud-Edge-Terminal Collaborative AIGC for Autonomous Driving—0
Performance Comparison of Deep RL Algorithms for Mixed Traffic Cooperative Lane-Changing—0
Asynchronous Large Language Model Enhanced Planner for Autonomous DrivingCode2
Transforming Surgical Interventions with Embodied Intelligence for Ultrasound Robotics—0
Planning with Adaptive World Models for Autonomous Driving—0
Learning Temporal Logic Predicates from Data with Statistical Guarantees—0
Instruct Large Language Models to Drive like HumansCode1
SLOPE: Search with Learned Optimal Pruning-based ExpansionCode0
Task and Motion Planning for Execution in the Real—0
Multi-Agent Inverse Reinforcement Learning in Real World Unstructured Pedestrian Crowds—0
RoboArm-NMP: a Learning Environment for Neural Motion Planning—0
Design, Control, and Motion-Planning for a Root-Perching Rotor-Distributed Manipulator—0
Track Anything Rapter(TAR)Code0
CoverLib: Classifiers-equipped Experience Library by Iterative Problem Distribution Coverage Maximization for Domain-tuned Motion Planning—0
Addressing Diverging Training Costs using BEVRestore for High-resolution Bird's Eye View Map Construction—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GPT-DriverCollision0.35—Unverified