SOTAVerified

Motion Planning

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

Papers

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Showing 701–750 of 920 papers

TitleStatusHype
Solution Concepts in Hierarchical Games under Bounded Rationality with Applications to Autonomous DrivingCode0
Stochastic Model Predictive Control with a Safety Guarantee for Automated Driving: Extended Version—0
Real-time Lane detection and Motion Planning in Raspberry Pi and Arduino for an Autonomous Vehicle Prototype—0
POMP: Pomcp-based Online Motion Planning for active visual search in indoor environments—0
MATS: An Interpretable Trajectory Forecasting Representation for Planning and ControlCode1
Planning with Learned Object Importance in Large Problem Instances using Graph Neural NetworksCode1
T^-Lite: A Fast Time-Risk Optimal Motion Planning Algorithm for Multi-Speed Autonomous Vehicles—0
Path Planning Followed by Kinodynamic Smoothing for Multirotor Aerial Vehicles (MAVs)—0
Designing inverse dynamic controller with integral action for motion planning of surgical robot in the presence of bounded disturbances—0
Perceive, Predict, and Plan: Safe Motion Planning Through Interpretable Semantic Representations—0
Lift, Splat, Shoot: Encoding Images From Arbitrary Camera Rigs by Implicitly Unprojecting to 3DCode2
Testing the Safety of Self-driving Vehicles by Simulating Perception and Prediction—0
DSDNet: Deep Structured self-Driving Network—0
Neural Manipulation Planning on Constraint Manifolds—0
Learning from Sparse DemonstrationsCode1
Near-Optimal Reactive Synthesis Incorporating Runtime Information—0
CAMPs: Learning Context-Specific Abstractions for Efficient Planning in Factored MDPsCode1
Learning the Solution Manifold in Optimization and Its Application in Motion Planning—0
Implicit Latent Variable Model for Scene-Consistent Motion Forecasting—0
Autonomy and Unmanned Vehicles Augmented Reactive Mission-Motion Planning Architecture for Autonomous Vehicles—0
VRUNet: Multi-Task Learning Model for Intent Prediction of Vulnerable Road Users—0
ADD: Analytically Differentiable Dynamics for Multi-Body Systems with Frictional ContactCode1
Predicting Sample Collision with Neural Networks—0
Confidence-rich grid mapping—0
One Thousand and One Hours: Self-driving Motion Prediction DatasetCode0
Graph Neural Networks for Motion Planning—0
Deep Visual Reasoning: Learning to Predict Action Sequences for Task and Motion Planning from an Initial Scene Image—0
Learning Navigation Costs from Demonstration with Semantic Observations—0
Learning Navigation Costs from Demonstrations with Semantic Observations—0
Neural Contraction Metrics for Robust Estimation and Control: A Convex Optimization ApproachCode1
Learning compositional models of robot skills for task and motion planningCode1
The Importance of Prior Knowledge in Precise Multimodal Prediction—0
N 2 C : Neural Network Controller Design Using Behavioral Cloning—0
Safe Feedback Motion Planning: A Contraction Theory and L_1-Adaptive Control Based ApproachCode1
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
Learning hierarchical behavior and motion planning for autonomous drivingCode1
Stereo Vision for Unmanned Aerial VehicleDetection, Tracking, and Motion Control—0
Plan2Vec: Unsupervised Representation Learning by Latent PlansCode1
Actor-Critic Reinforcement Learning for Control with Stability GuaranteeCode1
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
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GPT-DriverCollision0.35—Unverified