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Motion Planning

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

Papers

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Showing 601–650 of 920 papers

TitleStatusHype
Cost-to-Go Function Generating Networks for High Dimensional Motion Planning—0
Counterfactual Reasoning about Intent for Interactive Navigation in Dynamic Environments—0
CoverLib: Classifiers-equipped Experience Library by Iterative Problem Distribution Coverage Maximization for Domain-tuned Motion Planning—0
Creative Robot Tool Use with Large Language Models—0
Optimizing Crowd-Aware Multi-Agent Path Finding through Local Communication with Graph Neural Networks—0
Curiosity-Driven Imagination: Discovering Plan Operators and Learning Associated Policies for Open-World Adaptation—0
Current Effect-eliminated Optimal Target Assignment and Motion Planning for a Multi-UUV System—0
DDK: A Deep Koopman Approach for Dynamics Modeling and Trajectory Tracking of Autonomous Vehicles—0
Decentralized Vehicle Coordination: The Berkeley DeepDrive Drone Dataset and Consensus-Based Models—0
DeepGait: Planning and Control of Quadrupedal Gaits using Deep Reinforcement Learning—0
Deep Grid Net (DGN): A Deep Learning System for Real-Time Driving Context Understanding—0
Deep Learning Based Motion Planning For Autonomous Vehicle Using Spatiotemporal LSTM Network—0
Deep Multi-Sensor Lane Detection—0
Deep Multi-Task Learning for Joint Localization, Perception, and Prediction—0
Deep Neural Networks for Swept Volume Prediction Between Configurations—0
Deep Occupancy-Predictive Representations for Autonomous Driving—0
Deep Reinforcement Learning for Motion Planning of Mobile Robots—0
Deep Reinforcement Learning Graphs: Feedback Motion Planning via Neural Lyapunov Verification—0
Deep Transfer Learning for Intelligent Vehicle Perception: a Survey—0
Deep Visual Reasoning: Learning to Predict Action Sequences for Task and Motion Planning from an Initial Scene Image—0
DELO: Deep Evidential LiDAR Odometry using Partial Optimal Transport—0
DELTA: Decomposed Efficient Long-Term Robot Task Planning using Large Language Models—0
Denoising Heat-inspired Diffusion with Insulators for Collision Free Motion Planning—0
Design and Implementation of Hardware Accelerators for Neural Processing Applications—0
Design, Control, and Motion-Planning for a Root-Perching Rotor-Distributed Manipulator—0
Designing Human-Robot Coexistence Space—0
Designing inverse dynamic controller with integral action for motion planning of surgical robot in the presence of bounded disturbances—0
DEUX: Active Exploration for Learning Unsupervised Depth Perception—0
Differentiable Constrained Imitation Learning for Robot Motion Planning and Control—0
DiMSam: Diffusion Models as Samplers for Task and Motion Planning under Partial Observability—0
Discovering Multiple Algorithm Configurations—0
Disentangled Neural Relational Inference for Interpretable Motion Prediction—0
Distance and Collision Probability Estimation from Gaussian Surface Models—0
Distilling Multi-modal Large Language Models for Autonomous Driving—0
Distributed Attack-Robust Submodular Maximization for Multi-Robot Planning—0
Distributed Safe Learning and Planning for Multi-robot Systems—0
DreamRunner: Fine-Grained Storytelling Video Generation with Retrieval-Augmented Motion Adaptation—0
Drive-R1: Bridging Reasoning and Planning in VLMs for Autonomous Driving with Reinforcement Learning—0
Driving Everywhere with Large Language Model Policy Adaptation—0
Driving Style Encoder: Situational Reward Adaptation for General-Purpose Planning in Automated Driving—0
Synthesis of Discounted-Reward Optimal Policies for Markov Decision Processes Under Linear Temporal Logic Specifications—0
Synthesis of Opacity-Enforcing Winning Strategies Against Colluded Opponent—0
Target-Oriented Object Grasping via Multimodal Human Guidance—0
Task Allocation for Multi-Robot Task and Motion Planning: a case for Object Picking in Cluttered Workspaces—0
Task and Motion Planning for Execution in the Real—0
Task-assisted Motion Planning in Partially Observable Domains—0
Task-Motion Planning for Navigation in Belief Space—0
Task-relevant Representation Learning for Networked Robotic Perception—0
T-CBF: Traversability-based Control Barrier Function to Navigate Vertically Challenging Terrain—0
Teaching Robots to Build Simulations of Themselves—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GPT-DriverCollision0.35—Unverified