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
Using Knowledge Awareness to improve Safety of Autonomous Driving—0
Using Local Experiences for Global Motion Planning—0
Using UAVs for vehicle tracking and collision risk assessment at intersections—0
Vandermonde Trajectory Bounds for Linear Companion Systems—0
Vehicle Dynamics Modeling for Autonomous Racing Using Gaussian Processes—0
Verifiably Following Complex Robot Instructions with Foundation Models—0
Vi-LAD: Vision-Language Attention Distillation for Socially-Aware Robot Navigation in Dynamic Environments—0
Vision-based Perception for Autonomous Vehicles in Obstacle Avoidance Scenarios—0
Visualizing High-Dimensional Configuration Spaces: A Comprehensive Analytical Approach—0
VLM See, Robot Do: Human Demo Video to Robot Action Plan via Vision Language Model—0
VLP: Vision Language Planning for Autonomous Driving—0
VRUNet: Multi-Task Learning Model for Intent Prediction of Vulnerable Road Users—0
Watch Less, Feel More: Sim-to-Real RL for Generalizable Articulated Object Manipulation via Motion Adaptation and Impedance Control—0
What data do we need for training an AV motion planner?—0
WiseMove: A Framework for Safe Deep Reinforcement Learning for Autonomous Driving—0
With Whom to Communicate: Learning Efficient Communication for Multi-Robot Collision Avoidance—0
WorldPrediction: A Benchmark for High-level World Modeling and Long-horizon Procedural Planning—0
World Robot Challenge 2020 -- Partner Robot: A Data-Driven Approach for Room Tidying with Mobile Manipulator—0
Zero-shot Robotic Manipulation with Language-guided Instruction and Formal Task Planning—0
DEF-oriCORN: efficient 3D scene understanding for robust language-directed manipulation without demonstrations—0
Code-as-Symbolic-Planner: Foundation Model-Based Robot Planning via Symbolic Code Generation—0
3D Vision Guided Robotic Charging Station for Electric and Plug-in Hybrid Vehicles—0
A Barrier-Certified Optimal Coordination Framework for Connected and Automated Vehicles—0
Accelerated Labeling of Discrete Abstractions for Autonomous Driving Subject to LTL Specifications—0
Accelerating Integrated Task and Motion Planning with Neural Feasibility Checking—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GPT-DriverCollision0.35—Unverified