SOTAVerified

Motion Planning

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

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 751–800 of 920 papers

TitleStatusHype
The Importance of Prior Knowledge in Precise Multimodal Prediction—0
N 2 C : Neural Network Controller Design Using Behavioral Cloning—0
Combinatorics of a Discrete Trajectory Space for Robot Motion Planning—0
Learning from Naturalistic Driving Data for Human-like Autonomous Highway Driving—0
State-switching control of the second-order chained form system—0
Enhancing Lattice-based Motion Planning with Introspective Learning and Reasoning—0
On the Convergence of Overlapping Schwarz Decomposition for Nonlinear Optimal Control—0
Chance-Constrained Trajectory Optimization for Safe Exploration and Learning of Nonlinear Systems—0
Stereo Vision for Unmanned Aerial VehicleDetection, Tracking, and Motion Control—0
Online Mapping and Motion Planning under Uncertainty for Safe Navigation in Unknown Environments—0
PBCS : Efficient Exploration and Exploitation Using a Synergy between Reinforcement Learning and Motion Planning—0
Flexible and Efficient Long-Range Planning Through Curious Exploration—0
Autonomous task planning and situation awareness in robotic surgery—0
Multi-Resolution A*—0
CNN Encoder to Reduce the Dimensionality of Data Image for Motion Planning—0
Continuous Motion Planning with Temporal Logic Specifications using Deep Neural Networks—0
Go Fetch: Mobile Manipulation in Unstructured Environments—0
Moment State Dynamical Systems for Nonlinear Chance-Constrained Motion Planning—0
Analysis and Prediction of Pedestrian Crosswalk Behavior during Automated Vehicle Interactions—0
FormulaZero: Distributionally Robust Online Adaptation via Offline Population SynthesisCode0
Transfer Reinforcement Learning under Unobserved Contextual Information—0
Piecewise linear regressions for approximating distance metrics—0
Sub-Goal Trees -- a Framework for Goal-Based Reinforcement Learning—0
Learning Navigation Costs from Demonstration in Partially Observable Environments—0
Survey of Deep Reinforcement Learning for Motion Planning of Autonomous Vehicles—0
Socially intelligent task and motion planning for human-robot interaction—0
Multi-agent Motion Planning for Dense and Dynamic Environments via Deep Reinforcement Learning—0
Perception and Navigation in Autonomous Systems in the Era of Learning: A Survey—0
PDE-based multi-agent formation control using flatness and backstepping: analysis, design and robot experiments—0
Practical Solutions for Machine Learning Safety in Autonomous Vehicles—0
Deep Reinforcement Learning for Motion Planning of Mobile Robots—0
A Dynamic Motion Planning Framework for Autonomous Driving in Urban Environments—0
Driving Style Encoder: Situational Reward Adaptation for General-Purpose Planning in Automated Driving—0
A Configuration-Space Decomposition Scheme for Learning-based Collision Checking—0
Motion Reasoning for Goal-Based Imitation Learning—0
Prediction of Bottleneck Points for Manipulation Planning in Cluttered Environment using a 3D Convolutional Neural Network—0
Object-Centric Task and Motion Planning in Dynamic Environments—0
Non-Centralized Navigation for Source Localization by Cooperative UAVs—0
Task-Motion Planning for Navigation in Belief Space—0
Spatially-Aware Graph Neural Networks for Relational Behavior Forecasting from Sensor Data—0
Spacecraft Relative Motion Planning Using Chained Chance-Constrained Admissible Sets—0
Neural Collision Clearance Estimator for Batched Motion Planning—0
MultiPath: Multiple Probabilistic Anchor Trajectory Hypotheses for Behavior PredictionCode0
Multi-Vehicle Interaction Scenarios Generation with Interpretable Traffic Primitives and Gaussian Process Regression—0
Learned Critical Probabilistic Roadmaps for Robotic Motion Planning—0
Motion Planning through Demonstration to Deal with Complex Motions in Assembly Process—0
Distributed Attack-Robust Submodular Maximization for Multi-Robot Planning—0
Review of Learning-based Longitudinal Motion Planning for Autonomous Vehicles: Research Gaps between Self-driving and Traffic Congestion—0
End-to-End Motion Planning of Quadrotors Using Deep Reinforcement Learning—0
Interactive Decision Making for Autonomous Vehicles in Dense Traffic—0
Show:102550
← PrevPage 16 of 19Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GPT-DriverCollision0.35—Unverified