SOTAVerified

Motion Planning

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

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 651–675 of 920 papers

TitleStatusHype
Inverse reinforcement learning for autonomous navigation via differentiable semantic mapping and planning—0
Universal Adaptive Control of Nonlinear Systems—0
Forming Real-World Human-Robot Cooperation for Tasks With General Goal—0
GEM: Online Globally consistent dense elevation mapping for unstructured terrainCode1
PePScenes: A Novel Dataset and Baseline for Pedestrian Action Prediction in 3DCode0
Neural-Swarm2: Planning and Control of Heterogeneous Multirotor Swarms using Learned Interactions—0
Cost-to-Go Function Generating Networks for High Dimensional Motion Planning—0
Fast-reactive probabilistic motion planning for high-dimensional robots—0
Coinbot: Intelligent Robotic Coin Bag Manipulation Using Deep Reinforcement Learning And Machine Teaching—0
Leveraging Neural Network Gradients within Trajectory Optimization for Proactive Human-Robot InteractionsCode0
Unsupervised Path Regression Networks—0
Learning from Human Directional CorrectionsCode1
An End-to-end Deep Reinforcement Learning Approach for the Long-term Short-term Planning on the Frenet SpaceCode1
Relation3DMOT: Exploiting Deep Affinity for 3D Multi-Object Tracking from View Aggregation—0
C-Learning: Horizon-Aware Cumulative Accessibility EstimationCode0
Risk-Sensitive Motion Planning using Entropic Value-at-Risk—0
Reactive Human-to-Robot Handovers of Arbitrary Objects—0
Combining Reinforcement Learning with Model Predictive Control for On-Ramp MergingCode1
A Long Horizon Planning Framework for Manipulating Rigid Pointcloud Objects—0
Designing Human-Robot Coexistence Space—0
Decentralized Motion Planning for Multi-Robot Navigation using Deep Reinforcement LearningCode1
Learning Constrained Distributions of Robot Configurations with Generative Adversarial NetworkCode1
Decentralized Structural-RNN for Robot Crowd Navigation with Deep Reinforcement LearningCode1
Uncertainty-Aware Constraint Learning for Adaptive Safe Motion Planning from Demonstrations—0
Task-relevant Representation Learning for Networked Robotic Perception—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GPT-DriverCollision0.35—Unverified