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Motion Planning

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

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 451–500 of 920 papers

TitleStatusHype
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
Robotic surface exploration with vision and tactile sensing for cracks detection and characterisation—0
CaRT: Certified Safety and Robust Tracking in Learning-based Motion Planning for Multi-Agent Systems—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
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
Reinforcement Learning in Robotic Motion Planning by Combined Experience-based Planning and Self-Imitation Learning—0
Vehicle Dynamics Modeling for Autonomous Racing Using Gaussian Processes—0
Risk-Aware Reward Shaping of Reinforcement Learning Agents for Autonomous DrivingCode0
Learning Sampling Dictionaries for Efficient and Generalizable Robot Motion Planning with Transformers—0
TOFG: A Unified and Fine-Grained Environment Representation in Autonomous Driving—0
Large Car-following Data Based on Lyft level-5 Open Dataset: Following Autonomous Vehicles vs. Human-driven Vehicles—0
Imitating Task and Motion Planning with Visuomotor Transformers—0
ORRN: An ODE-based Recursive Registration Network for Deformable Respiratory Motion Estimation with Lung 4DCT ImagesCode0
Motion planning for parabolic equations using flatness and finite-difference approximations—0
On the Difficulty of Intersection Checking with Polynomial Zonotopes—0
Safe motion planning with environment uncertainty—0
Model-free Motion Planning of Autonomous Agents for Complex Tasks in Partially Observable EnvironmentsCode0
IBBT: Informed Batch Belief Trees for Motion Planning Under Uncertainty—0
Topological Guided Actor-Critic Modular Learning of Continuous Systems with Temporal Objectives—0
Integration of Reinforcement Learning Based Behavior Planning With Sampling Based Motion Planning for Automated Driving—0
Sampling-based Reactive Synthesis for Nondeterministic Hybrid Systems—0
Lidar based 3D Tracking and State Estimation of Dynamic Objects—0
Synthesis of Opacity-Enforcing Winning Strategies Against Colluded Opponent—0
A Learning-based Adaptive Compliance Method for Symmetric Bi-manual Manipulation—0
Optimal task and motion planning and execution for human-robot multi-agent systems in dynamic environments—0
Interpretable Motion Planner for Urban Driving via Hierarchical Imitation Learning—0
Planning for Complex Non-prehensile Manipulation Among Movable Objects by Interleaving Multi-Agent Pathfinding and Physics-Based Simulation—0
A Hierarchical Hybrid Learning Framework for Multi-agent Trajectory Prediction—0
Dynamic Object Removal for Effective Slam—0
Improving Human-Robot Collaboration via Computational Design—0
A Survey of Federated Learning for Connected and Automated Vehicles—0
Motion Planning for Autonomous Driving: The State of the Art and Future Perspectives—0
Efficient Learning of High Level Plans from Play—0
Optimization of Velocity Ramps with Survival Analysis for Intersection Merge-Ins—0
Importance Filtering with Risk Models for Complex Driving Situations—0
Discovering Multiple Algorithm Configurations—0
Direct Robot Configuration Space Construction using Convolutional Encoder-DecodersCode0
Deep Occupancy-Predictive Representations for Autonomous Driving—0
Leveraging Scene Embeddings for Gradient-Based Motion Planning in Latent Space—0
Efficient Skill Acquisition for Complex Manipulation Tasks in Obstructed Environments—0
Predicting Motion Plans for Articulating Everyday Objects—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GPT-DriverCollision0.35—Unverified