SOTAVerified

Motion Planning

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

Papers

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Showing 301–350 of 920 papers

TitleStatusHype
RSRD: A Road Surface Reconstruction Dataset and Benchmark for Safe and Comfortable Autonomous Driving—0
GPT-Driver: Learning to Drive with GPTCode2
Model Predictive Planning: Trajectory Planning in Obstruction-Dense Environments for Low-Agility Aircraft—0
Perception-and-Energy-aware Motion Planning for UAV using Learning-based Model under Heteroscedastic UncertaintyCode0
Multi-Agent Reach-Avoid Games: Two Attackers Versus One Defender and Mixed Integer ProgrammingCode0
Multi-Agent Control Synthesis from Global Temporal Logic Tasks with Synchronous Satisfaction Requirements—0
Cloud-Based Hierarchical Imitation Learning for Scalable Transfer of Construction Skills from Human Workers to Assisting Robots—0
EDMP: Ensemble-of-costs-guided Diffusion for Motion PlanningCode1
LEA*: An A* Variant Algorithm with Improved Edge Efficiency for Robot Motion PlanningCode0
Optimizing Crowd-Aware Multi-Agent Path Finding through Local Communication with Graph Neural Networks—0
A Novel Deep Neural Network for Trajectory Prediction in Automated Vehicles Using Velocity Vector FieldCode0
Conformal Temporal Logic Planning using Large Language Models—0
DEUX: Active Exploration for Learning Unsupervised Depth Perception—0
HandNeRF: Learning to Reconstruct Hand-Object Interaction Scene from a Single RGB ImageCode1
Guaranteed approximations of arbitrarily quantified reachability problems—0
Connected Autonomous Vehicle Motion Planning with Video Predictions from Smart, Self-Supervised Infrastructure—0
Hybrid of representation learning and reinforcement learning for dynamic and complex robotic motion planning—0
A Unifying Variational Framework for Gaussian Process Motion PlanningCode1
Actuator Trajectory Planning for UAVs with Overhead Manipulator using Reinforcement Learning—0
InsMapper: Exploring Inner-instance Information for Vectorized HD Mapping—0
DELO: Deep Evidential LiDAR Odometry using Partial Optimal Transport—0
FusionPlanner: A Multi-task Motion Planner for Mining Trucks via Multi-sensor Fusion—0
3DMOTFormer: Graph Transformer for Online 3D Multi-Object TrackingCode1
Temporal DINO: A Self-supervised Video Strategy to Enhance Action Prediction—0
Path Signatures for Diversity in Probabilistic Trajectory Optimisation—0
Motion Planning Diffusion: Learning and Planning of Robot Motions with Diffusion Models—0
An enhanced motion planning approach by integrating driving heterogeneity and long-term trajectory prediction for automated driving systems—0
Spatial Intelligence of a Self-driving Car and Rule-Based Decision Making—0
Using Implicit Behavior Cloning and Dynamic Movement Primitive to Facilitate Reinforcement Learning for Robot Motion Planning—0
Traffic Flow Simulation for Autonomous Driving—0
Bayesian inference for data-efficient, explainable, and safe robotic motion planning: A review—0
A Multi-Heuristic Search-based Motion Planning for Automated Parking—0
CaRT: Certified Safety and Robust Tracking in Learning-based Motion Planning for Multi-Agent Systems—0
Robotic surface exploration with vision and tactile sensing for cracks detection and characterisation—0
Embodied Lifelong Learning for Task and Motion Planning—0
RH20T: A Comprehensive Robotic Dataset for Learning Diverse Skills in One-Shot—0
Collision-free Motion Planning for Mobile Robots by Zero-order Robust Optimization-based MPC—0
Adversarial Backdoor Attack by Naturalistic Data Poisoning on Trajectory Prediction in Autonomous Driving—0
SCENEREPLICA: Benchmarking Real-World Robot Manipulation by Creating Replicable ScenesCode1
Deep Transfer Learning for Intelligent Vehicle Perception: a Survey—0
DiMSam: Diffusion Models as Samplers for Task and Motion Planning under Partial Observability—0
Robot Learning with Sensorimotor Pre-training—0
Parting with Misconceptions about Learning-based Vehicle Motion PlanningCode2
Reinforcement Learning in Robotic Motion Planning by Combined Experience-based Planning and Self-Imitation Learning—0
AutoTAMP: Autoregressive Task and Motion Planning with LLMs as Translators and CheckersCode1
iPLAN: Intent-Aware Planning in Heterogeneous Traffic via Distributed Multi-Agent Reinforcement LearningCode1
Trajectory Prediction with Observations of Variable-Length for Motion Planning in Highway Merging scenariosCode1
Vehicle Dynamics Modeling for Autonomous Racing Using Gaussian Processes—0
Risk-Aware Reward Shaping of Reinforcement Learning Agents for Autonomous DrivingCode0
Scene as OccupancyCode2
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GPT-DriverCollision0.35—Unverified