SOTAVerified

Motion Planning

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

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 901–920 of 920 papers

TitleStatusHype
Addressing Appearance Change in Outdoor Robotics with Adversarial Domain Adaptation—0
Incorporating Human Domain Knowledge into Large Scale Cost Function Learning—0
CAD2RL: Real Single-Image Flight without a Single Real ImageCode0
Counterfactual Reasoning about Intent for Interactive Navigation in Dynamic Environments—0
Mobility Map Computations for Autonomous Navigation using an RGBD Sensor—0
Incremental Sampling-based Motion Planners Using Policy Iteration Methods—0
Traversing Environments Using Possibility Graphs for Humanoid Robots—0
Inferring Forces and Learning Human Utilities From Videos—0
Egocentric Future Localization—0
Toward Efficient Task Assignment and Motion Planning for Large Scale Underwater Mission—0
Optimal Route Planning with Prioritized Task Scheduling for AUV Missions—0
A Motion Planning Strategy for the Active Vision-Based Mapping of Ground-Level Structures—0
Funnel Libraries for Real-Time Robust Feedback Motion Planning—0
An Automaton Learning Approach to Solving Safety Games over Infinite Graphs—0
Plan Explicability and Predictability for Robot Task Planning—0
A System View of the Recognition and Interpretation of Observed Human Shape, Pose and Action—0
Correct-by-synthesis reinforcement learning with temporal logic constraints—0
A message-passing algorithm for multi-agent trajectory planning—0
Free-configuration Biased Sampling for Motion Planning: Errata—0
Measuring Intelligence through Games—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GPT-DriverCollision0.35—Unverified