SOTAVerified

Motion Planning

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

Papers

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Showing 801–825 of 920 papers

TitleStatusHype
An Adversarial Approach to Private Flocking in Mobile Robot TeamsCode0
DeepGait: Planning and Control of Quadrupedal Gaits using Deep Reinforcement Learning—0
Control Synthesis from Linear Temporal Logic Specifications using Model-Free Reinforcement LearningCode0
kPAM-SC: Generalizable Manipulation Planning using KeyPoint Affordance and Shape Completion—0
MuMMER: Socially Intelligent Human-Robot Interaction in Public Spaces—0
Motion Planning Explorer: Visualizing Local Minima using a Local-Minima TreeCode0
Force-based Algorithm for Motion Planning of Large Agent Teams—0
Bayesian Local Sampling-based Planning—0
Task-assisted Motion Planning in Partially Observable Domains—0
Generic Tracking and Probabilistic Prediction Framework and Its Application in Autonomous Driving—0
Higher-Order Function Networks for Learning Composable 3D Object Representations—0
Composing Diverse Policies for Temporally Extended Tasks—0
Leveraging Experience in Lazy Search—0
Motion Planning Networks: Bridging the Gap Between Learning-based and Classical Motion PlannersCode0
Online Inference and Detection of Curbs in Partially Occluded Scenes with Sparse LIDAR—0
RL-RRT: Kinodynamic Motion Planning via Learning Reachability Estimators from RL Policies—0
Language2Pose: Natural Language Grounded Pose ForecastingCode0
Planning Robot Motion using Deep Visual Prediction—0
An Efficient B-spline-Based Kinodynamic Replanning Framework for Quadrotors—0
Sub-Goal Trees -- a Framework for Goal-Directed Trajectory Prediction and Optimization—0
BayesSim: adaptive domain randomization via probabilistic inference for robotics simulatorsCode0
Rapidly-Exploring Quotient-Space Trees: Motion Planning using Sequential Simplifications—0
Harnessing Reinforcement Learning for Neural Motion PlanningCode0
Graduated Fidelity Lattices for Motion Planning under Uncertainty—0
Composing Task-Agnostic Policies with Deep Reinforcement Learning—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GPT-DriverCollision0.35—Unverified