SOTAVerified

Motion Planning

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

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 826–850 of 920 papers

TitleStatusHype
Vision-based Robotic Grasping From Object Localization, Object Pose Estimation to Grasp Estimation for Parallel Grippers: A ReviewCode0
Stability Properties of Graph Neural Networks—0
Conditional Generative Neural System for Probabilistic Trajectory Prediction—0
Deep Multi-Sensor Lane Detection—0
Driving with Style: Inverse Reinforcement Learning in General-Purpose Planning for Automated Driving—0
Anytime Integrated Task and Motion Policies for Stochastic Environments—0
Efficient Motion Planning for Automated Lane Change based on Imitation Learning and Mixed-Integer OptimizationCode0
Simultaneous Contact, Gait and Motion Planning for Robust Multi-Legged Locomotion via Mixed-Integer Convex Optimization—0
On-line and on-board planning and perception for quadrupedal locomotion—0
Planning under non-rational perception of uncertain spatial costs—0
Can a Robot Become a Movie Director? Learning Artistic Principles for Aerial Cinematography—0
Interaction-aware Multi-agent Tracking and Probabilistic Behavior Prediction via Adversarial Learning—0
Online Risk-Bounded Motion Planning for Autonomous Vehicles in Dynamic Environments—0
Using Local Experiences for Global Motion Planning—0
Trajectory Optimization for Unknown Constrained Systems using Reinforcement Learning—0
Learn and Link: Learning Critical Regions for Efficient Planning—0
Deep Learning Based Motion Planning For Autonomous Vehicle Using Spatiotemporal LSTM Network—0
WiseMove: A Framework for Safe Deep Reinforcement Learning for Autonomous Driving—0
Learning Configuration Space Belief Model from Collision Checks for Motion Planning—0
Learning-Based Synthesis of Safety Controllers—0
Deep Grid Net (DGN): A Deep Learning System for Real-Time Driving Context Understanding—0
Continuous Trajectory Planning Based on Learning Optimization in High Dimensional Input Space for Serial Manipulators—0
Learning to Predict Ego-Vehicle Poses for Sampling-Based Nonholonomic Motion Planning—0
Regret bounds for meta Bayesian optimization with an unknown Gaussian process priorCode0
Integrating Task-Motion Planning with Reinforcement Learning for Robust Decision Making in Mobile Robots—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GPT-DriverCollision0.35—Unverified