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
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
Online Risk-Bounded Motion Planning for Autonomous Vehicles in Dynamic Environments—0
Interaction-aware Multi-agent Tracking and Probabilistic Behavior Prediction via Adversarial Learning—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
Predictive and Semantic Layout Estimation for Robotic Applications in Manhattan Worlds—0
Learning Latent Dynamics for Planning from PixelsCode1
Combining Subgoal Graphs with Reinforcement Learning to Build a Rational Pathfinder—0
A Framework for Probabilistic Generic Traffic Scene Prediction—0
Accelerated Labeling of Discrete Abstractions for Autonomous Driving Subject to LTL Specifications—0
ChainQueen: A Real-Time Differentiable Physical Simulator for Soft Robotics—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GPT-DriverCollision0.35—Unverified