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Motion Planning

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

Papers

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Showing 401–450 of 920 papers

TitleStatusHype
Integration of Reinforcement Learning Based Behavior Planning With Sampling Based Motion Planning for Automated Driving—0
Intelligent bidirectional rapidly-exploring random trees for optimal motion planning in complex cluttered environments—0
Intelligent Motion Planning for a Cost-effective Object Follower Mobile Robotic System with Obstacle Avoidance—0
Deep Multi-Sensor Lane Detection—0
Learning Interaction-Aware Trajectory Predictions for Decentralized Multi-Robot Motion Planning in Dynamic Environments—0
Interaction-aware Multi-agent Tracking and Probabilistic Behavior Prediction via Adversarial Learning—0
Interactive Decision Making for Autonomous Vehicles in Dense Traffic—0
Interactive Joint Planning for Autonomous Vehicles—0
GAMORA: A Gesture Articulated Meta Operative Robotic Arm for Hazardous Material Handling in Containment-Level Environments—0
Ark: An Open-source Python-based Framework for Robot Learning—0
Affordances-Oriented Planning using Foundation Models for Continuous Vision-Language Navigation—0
InterLoc: LiDAR-based Intersection Localization using Road Segmentation with Automated Evaluation Method—0
Interpretable Motion Planner for Urban Driving via Hierarchical Imitation Learning—0
Deep Reinforcement Learning for Motion Planning of Mobile Robots—0
GAD-Generative Learning for HD Map-Free Autonomous Driving—0
Combining Subgoal Graphs with Reinforcement Learning to Build a Rational Pathfinder—0
A Cooperative Optimal Control Framework for Connected and Automated Vehicles in Mixed Traffic Using Social Value Orientation—0
Inverse reinforcement learning for autonomous navigation via differentiable semantic mapping and planning—0
FusionPlanner: A Multi-task Motion Planner for Mining Trucks via Multi-sensor Fusion—0
Iterative Motion Planning in Multi-agent Systems with Opportunistic Communication under Disturbance—0
Funnel Libraries for Real-Time Robust Feedback Motion Planning—0
Combining Planning and Diffusion for Mobility with Unknown Dynamics—0
A Predefined-Time Convergent and Noise-Tolerant Zeroing Neural Network Model for Time Variant Quadratic Programming With Application to Robot Motion Planning—0
KiloBot: A Programming Language for Deploying Perception-Guided Industrial Manipulators at Scale—0
KnowRob 2.0 — A 2nd Generation Knowledge Processing Framework for Cognition-enabled Robotic Agents—0
kPAM-SC: Generalizable Manipulation Planning using KeyPoint Affordance and Shape Completion—0
Learning from Naturalistic Driving Data for Human-like Autonomous Highway Driving—0
λ: A Benchmark for Data-Efficiency in Long-Horizon Indoor Mobile Manipulation Robotics—0
Design, Control, and Motion-Planning for a Root-Perching Rotor-Distributed Manipulator—0
Design and Implementation of Hardware Accelerators for Neural Processing Applications—0
From Real World to Logic and Back: Learning Generalizable Relational Concepts For Long Horizon Robot Planning—0
Large Car-following Data Based on Lyft level-5 Open Dataset: Following Autonomous Vehicles vs. Human-driven Vehicles—0
From Motion to Muscle—0
Large Scale Distributed Collaborative Unlabeled Motion Planning with Graph Policy Gradients—0
Large Scale Interactive Motion Forecasting for Autonomous Driving : The Waymo Open Motion Dataset—0
Large Scale Interactive Motion Forecasting for Autonomous Driving: The Waymo Open Motion Dataset—0
Combining Graph Attention Networks and Distributed Optimization for Multi-Robot Mixed-Integer Convex Programming—0
Approximating Constraint Manifolds Using Generative Models for Sampling-Based Constrained Motion Planning—0
Layered Multirate Control of Constrained Linear Systems—0
From Motion to Behavior: Hierarchical Modeling of Humanoid Generative Behavior Control—0
Free-configuration Biased Sampling for Motion Planning: Errata—0
Learned Critical Probabilistic Roadmaps for Robotic Motion Planning—0
Combining Deep Reinforcement Learning with a Jerk-Bounded Trajectory Generator for Kinematically Constrained Motion Planning—0
Forming Real-World Human-Robot Cooperation for Tasks With General Goal—0
Combined Task and Motion Planning as Classical AI Planning—0
Learning and Inferring Movement with Deep Generative Model—0
Approximate Inference-based Motion Planning by Learning and Exploiting Low-Dimensional Latent Variable Models—0
Learning-based Motion Planning in Dynamic Environments Using GNNs and Temporal Encoding—0
Learning-Based Synthesis of Safety Controllers—0
Combinatorics of a Discrete Trajectory Space for Robot Motion Planning—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GPT-DriverCollision0.35—Unverified