SOTAVerified

Motion Planning

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

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 376–400 of 920 papers

TitleStatusHype
RobKiNet: Robotic Kinematics Informed Neural Network for Optimal Robot Configuration Prediction—0
Closed-loop Multi-step Planning—0
Neural Implicit Swept Volume Models for Fast Collision Detection—0
RoboScript: Code Generation for Free-Form Manipulation Tasks across Real and Simulation—0
Path Planning based on 2D Object Bounding-box—0
Learning Inverse Kinodynamics for Autonomous Vehicle DriftingCode0
Blending Data-Driven Priors in Dynamic Games—0
From Real World to Logic and Back: Learning Generalizable Relational Concepts For Long Horizon Robot Planning—0
Verifiably Following Complex Robot Instructions with Foundation Models—0
Auto-Encoding Bayesian Inverse Games—0
Conformalized Adaptive Forecasting of Heterogeneous TrajectoriesCode0
Inherent Diverse Redundant Safety Mechanisms for AI-based Software Elements in Automotive Applications—0
Driving Everywhere with Large Language Model Policy Adaptation—0
Real-World Robot Applications of Foundation Models: A Review—0
Safe Human-UAS Collaboration Abstraction—0
Risk-Aware MPC for Stochastic Systems with Runtime Temporal LogicsCode0
A GP-based Robust Motion Planning Framework for Agile Autonomous Robot Navigation and Recovery in Unknown Environments—0
Distance and Collision Probability Estimation from Gaussian Surface Models—0
Design and Implementation of Hardware Accelerators for Neural Processing Applications—0
VLP: Vision Language Planning for Autonomous Driving—0
Current Effect-eliminated Optimal Target Assignment and Motion Planning for a Multi-UUV System—0
Disentangled Neural Relational Inference for Interpretable Motion Prediction—0
CaDeT: a Causal Disentanglement Approach for Robust Trajectory Prediction in Autonomous Driving—0
Unified Task and Motion Planning using Object-centric Abstractions of Motion Constraints—0
InsActor: Instruction-driven Physics-based Characters—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GPT-DriverCollision0.35—Unverified