SOTAVerified

Motion Planning

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

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 401–425 of 920 papers

TitleStatusHype
Integration of Reinforcement Learning Based Behavior Planning With Sampling Based Motion Planning for Automated Driving—0
Intelligent bidirectional rapidly-exploring random trees for optimal motion planning in complex cluttered environments—0
Intelligent Motion Planning for a Cost-effective Object Follower Mobile Robotic System with Obstacle Avoidance—0
Deep Multi-Sensor Lane Detection—0
Approximating Constraint Manifolds Using Generative Models for Sampling-Based Constrained Motion Planning—0
Interaction-aware Multi-agent Tracking and Probabilistic Behavior Prediction via Adversarial Learning—0
Interactive Decision Making for Autonomous Vehicles in Dense Traffic—0
Interactive Joint Planning for Autonomous Vehicles—0
From Motion to Behavior: Hierarchical Modeling of Humanoid Generative Behavior Control—0
Free-configuration Biased Sampling for Motion Planning: Errata—0
Combining Deep Reinforcement Learning with a Jerk-Bounded Trajectory Generator for Kinematically Constrained Motion Planning—0
InterLoc: LiDAR-based Intersection Localization using Road Segmentation with Automated Evaluation Method—0
Interpretable Motion Planner for Urban Driving via Hierarchical Imitation Learning—0
Deep Reinforcement Learning for Motion Planning of Mobile Robots—0
Forming Real-World Human-Robot Cooperation for Tasks With General Goal—0
Intrinsic Motivation and Mental Replay enable Efficient Online Adaptation in Stochastic Recurrent Networks—0
Combined Task and Motion Planning as Classical AI Planning—0
Inverse reinforcement learning for autonomous navigation via differentiable semantic mapping and planning—0
Approximate Inference-based Motion Planning by Learning and Exploiting Low-Dimensional Latent Variable Models—0
Iterative Motion Planning in Multi-agent Systems with Opportunistic Communication under Disturbance—0
Large Car-following Data Based on Lyft level-5 Open Dataset: Following Autonomous Vehicles vs. Human-driven Vehicles—0
Large Scale Distributed Collaborative Unlabeled Motion Planning with Graph Policy Gradients—0
Combinatorics of a Discrete Trajectory Space for Robot Motion Planning—0
KiloBot: A Programming Language for Deploying Perception-Guided Industrial Manipulators at Scale—0
Force-based Algorithm for Motion Planning of Large Agent Teams—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GPT-DriverCollision0.35—Unverified