SOTAVerified

Motion Planning

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

Papers

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Showing 776–800 of 920 papers

TitleStatusHype
Coinbot: Intelligent Robotic Coin Bag Manipulation Using Deep Reinforcement Learning And Machine Teaching—0
COLLAGE: Collaborative Human-Agent Interaction Generation using Hierarchical Latent Diffusion and Language Models—0
Collision-free Motion Planning for Mobile Robots by Zero-order Robust Optimization-based MPC—0
Combating Partial Perception Deficit in Autonomous Driving with Multimodal LLM Commonsense—0
Combinatorics of a Discrete Trajectory Space for Robot Motion Planning—0
Combined Task and Motion Planning as Classical AI Planning—0
Combining Deep Reinforcement Learning with a Jerk-Bounded Trajectory Generator for Kinematically Constrained Motion Planning—0
Combining Graph Attention Networks and Distributed Optimization for Multi-Robot Mixed-Integer Convex Programming—0
Combining Planning and Diffusion for Mobility with Unknown Dynamics—0
Combining Subgoal Graphs with Reinforcement Learning to Build a Rational Pathfinder—0
Comparing SONN Types for Efficient Robot Motion Planning in the Configuration Space—0
Composing Diverse Policies for Temporally Extended Tasks—0
Composing Task-Agnostic Policies with Deep Reinforcement Learning—0
On trajectory design from motion primitives for near time-optimal transitions for systems with oscillating internal dynamics—0
Computational Tradeoff in Minimum Obstacle Displacement Planning for Robot Navigation—0
Conditional Generative Neural System for Probabilistic Trajectory Prediction—0
Confidence-rich grid mapping—0
Conformal Decision Theory: Safe Autonomous Decisions from Imperfect Predictions—0
Conformal Temporal Logic Planning using Large Language Models—0
Connected Autonomous Vehicle Motion Planning with Video Predictions from Smart, Self-Supervised Infrastructure—0
Constant-time Motion Planning with Anytime Refinement for Manipulation—0
Constrained Gaussian Process Motion Planning via Stein Variational Newton Inference—0
Constrained Motion Planning Networks X—0
Continuous Motion Planning with Temporal Logic Specifications using Deep Neural Networks—0
Continuous Trajectory Planning Based on Learning Optimization in High Dimensional Input Space for Serial Manipulators—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GPT-DriverCollision0.35—Unverified