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
Designing Human-Robot Coexistence Space—0
A message-passing algorithm for multi-agent trajectory planning—0
A Data-Driven Approach for Autonomous Motion Planning and Control in Off-Road Driving Scenarios—0
Design, Control, and Motion-Planning for a Root-Perching Rotor-Distributed Manipulator—0
Design and Implementation of Hardware Accelerators for Neural Processing Applications—0
Denoising Heat-inspired Diffusion with Insulators for Collision Free Motion Planning—0
DELTA: Decomposed Efficient Long-Term Robot Task Planning using Large Language Models—0
Autonomy and Unmanned Vehicles Augmented Reactive Mission-Motion Planning Architecture for Autonomous Vehicles—0
A Long Horizon Planning Framework for Manipulating Rigid Pointcloud Objects—0
DELO: Deep Evidential LiDAR Odometry using Partial Optimal Transport—0
Deep Visual Reasoning: Learning to Predict Action Sequences for Task and Motion Planning from an Initial Scene Image—0
Autonomous task planning and situation awareness in robotic surgery—0
Deep Transfer Learning for Intelligent Vehicle Perception: a Survey—0
Deep Reinforcement Learning Graphs: Feedback Motion Planning via Neural Lyapunov Verification—0
Autonomous Aerial Robot for High-Speed Search and Intercept Applications—0
Adaptive Interactive Navigation of Quadruped Robots using Large Language Models—0
Accelerating Integrated Task and Motion Planning with Neural Feasibility Checking—0
Deep Reinforcement Learning for Motion Planning of Mobile Robots—0
Automated Vehicle Highway Merging: Motion Planning via Adaptive Interactive Mixed-Integer MPC—0
Deep Occupancy-Predictive Representations for Autonomous Driving—0
Deep Neural Networks for Swept Volume Prediction Between Configurations—0
Automata Learning of Preferences over Temporal Logic Formulas from Pairwise Comparisons—0
Deep Multi-Task Learning for Joint Localization, Perception, and Prediction—0
Deep Multi-Sensor Lane Detection—0
Auto-Encoding Bayesian Inverse Games—0
Deep Learning Based Motion Planning For Autonomous Vehicle Using Spatiotemporal LSTM Network—0
Auto-conditioned Recurrent Mixture Density Networks for Learning Generalizable Robot Skills—0
A Learning-based Adaptive Compliance Method for Symmetric Bi-manual Manipulation—0
Deep Grid Net (DGN): A Deep Learning System for Real-Time Driving Context Understanding—0
DeepGait: Planning and Control of Quadrupedal Gaits using Deep Reinforcement Learning—0
Decentralized Vehicle Coordination: The Berkeley DeepDrive Drone Dataset and Consensus-Based Models—0
Augmenting GRIPS with Heuristic Sampling for Planning Feasible Trajectories of a Car-Like Robot—0
A Hybrid Evolutionary Approach for Multi Robot Coordinated Planning at Intersections—0
A Task-Motion Planning Framework Using Iteratively Deepened AND/OR Graph Networks—0
DDK: A Deep Koopman Approach for Dynamics Modeling and Trajectory Tracking of Autonomous Vehicles—0
A Task and Motion Planning Framework Using Iteratively Deepened AND/OR Graph Networks—0
A Holistic Robust Motion Controller Framework for Autonomous Platooning—0
Actuator Trajectory Planning for UAVs with Overhead Manipulator using Reinforcement Learning—0
Accelerated Labeling of Discrete Abstractions for Autonomous Driving Subject to LTL Specifications—0
Code-as-Symbolic-Planner: Foundation Model-Based Robot Planning via Symbolic Code Generation—0
Current Effect-eliminated Optimal Target Assignment and Motion Planning for a Multi-UUV System—0
A System View of the Recognition and Interpretation of Observed Human Shape, Pose and Action—0
Curiosity-Driven Imagination: Discovering Plan Operators and Learning Associated Policies for Open-World Adaptation—0
Optimizing Crowd-Aware Multi-Agent Path Finding through Local Communication with Graph Neural Networks—0
A Hierarchical Hybrid Learning Framework for Multi-agent Trajectory Prediction—0
Creative Robot Tool Use with Large Language Models—0
CoverLib: Classifiers-equipped Experience Library by Iterative Problem Distribution Coverage Maximization for Domain-tuned Motion Planning—0
A Survey on the Integration of Machine Learning with Sampling-based Motion Planning—0
Counterfactual Reasoning about Intent for Interactive Navigation in Dynamic Environments—0
Cost-to-Go Function Generating Networks for High Dimensional Motion Planning—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GPT-DriverCollision0.35—Unverified