SOTAVerified

Trajectory Planning

Trajectory planning for industrial robots consists of moving the tool center point from point A to point B while avoiding body collisions over time. Trajectory planning is sometimes referred to as motion planning and erroneously as path planning. Trajectory planning is distinct from path planning in that it is parametrized by time. Essentially trajectory planning encompasses path planning in addition to planning how to move based on velocity, time, and kinematics.

Papers

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Showing 101–150 of 324 papers

TitleStatusHype
Distributed Dynamic Platoons Control and Junction Crossing Optimization for Mixed Traffic Flows in Smart Cities- Part I. Fundamentals, Theoretical and Automatic Decision Framework—0
Automatic Parameter Tuning of Self-Driving Vehicles—0
Evaluation of 3D CNN Semantic Mapping for Rover Navigation—0
Explanation for Trajectory Planning using Multi-modal Large Language Model for Autonomous Driving—0
Exploiting Prior Knowledge in Preferential Learning of Individualized Autonomous Vehicle Driving Styles—0
Fair Play in the Fast Lane: Integrating Sportsmanship into Autonomous Racing Systems—0
Distributed Cooperative Control and Optimization of Connected Automated Vehicles Platoon Against Cut-in Behaviors of Social Drivers—0
Fast Monte Carlo Tree Diffusion: 100x Speedup via Parallel Sparse Planning—0
Fast Spline Trajectory Planning: Minimum Snap and Beyond—0
Fault diagnosis for linear heterodirectional hyperbolic ODE-PDE systems using backstepping-based trajectory planning—0
Disconnectivity-Aware Energy-Efficient Cargo-UAV Trajectory Planning with Minimum Handoffs—0
Federated Learning in the Sky: Joint Power Allocation and Scheduling with UAV Swarms—0
Capturing Object Detection Uncertainty in Multi-Layer Grid Maps—0
From Turbulence to Tranquility: AI-Driven Low-Altitude Network—0
FutureSightDrive: Thinking Visually with Spatio-Temporal CoT for Autonomous Driving—0
Automatic driving lane change safety prediction model based on LSTM—0
CGD: Constraint-Guided Diffusion Policies for UAV Trajectory Planning—0
Generative emulation of chaotic dynamics with coherent prior—0
A message-passing algorithm for multi-agent trajectory planning—0
Llamarine: Open-source Maritime Industry-specific Large Language Model—0
Diffusion Models for Robotic Manipulation: A Survey—0
Diffusion Meets Options: Hierarchical Generative Skill Composition for Temporally-Extended Tasks—0
Grid-Based Stochastic Model Predictive Control for Trajectory Planning in Uncertain Environments—0
Guaranteed Reachability on Riemannian Manifolds for Unknown Nonlinear Systems—0
Hierarchical Game-Theoretic Planning for Autonomous Vehicles—0
Hierarchical Task Offloading for UAV-Assisted Vehicular Edge Computing via Deep Reinforcement Learning—0
Attention-Enhanced Prompt Decision Transformers for UAV-Assisted Communications with AoI—0
Deep RL-based Trajectory Planning for AoI Minimization in UAV-assisted IoT—0
Deep Reinforcement Learning with a Stage Incentive Mechanism of Dense Reward for Robotic Trajectory Planning—0
Attention-based UAV Trajectory Optimization for Wireless Power Transfer-assisted IoT Systems—0
Altitude-Loss Optimal Glides in Engine Failure Emergencies -- Accounting for Ground Obstacles and Wind—0
Deep reinforcement learning for optical systems: A case study of mode-locked lasers—0
Learning-Aided Control of Robotic Tether-Net with Maneuverable Nodes to Capture Large Space Debris—0
Deep Reinforcement Learning for Motion Planning of Mobile Robots—0
A Successive-Elimination Approach to Adaptive Robotic Sensing—0
Deep 6-DoF Tracking of Unknown Objects for Reactive Grasping—0
AlphaPilot: Autonomous Drone Racing—0
Adaptive Field Effect Planner for Safe Interactive Autonomous Driving on Curved Roads—0
Learning-Initialized Trajectory Planning in Unknown Environments—0
Jointly Learnable Behavior and Trajectory Planning for Self-Driving Vehicles—0
Joint Cluster Head Selection and Trajectory Planning in UAV-Aided IoT Networks by Reinforcement Learning with Sequential Model—0
Data Driven Aircraft Trajectory Prediction with Deep Imitation Learning—0
Is That Rain? Understanding Effects on Visual Odometry Performance for Autonomous UAVs and Efficient DNN-based Rain Classification at the Edge—0
Assembly robots with optimized control stiffness through reinforcement learning—0
LaPlaSS: Latent Space Planning for Stochastic Systems—0
LBGP: Learning Based Goal Planning for Autonomous Following in Front—0
Algorithms of Real-Time Navigation and Control of Autonomous Unmanned Vehicles—0
Learning Maximal Safe Sets Using Hypernetworks for MPC-based Local Trajectory Planning in Unknown Environments—0
Learning Deep Sensorimotor Policies for Vision-based Autonomous Drone Racing—0
Accelerating the Evolution of Personalized Automated Lane Change through Lesson Learning—0
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All datasetsnuScenesToolBench

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ST-P3 (Lidar)Collision-3s1.27—Unverified
2UniADCollision-3s0.71—Unverified
3AD-MLPCollision-3s0.24—Unverified
4VAD-Base [jiang2023vad]Collision-3s0.24—Unverified
#ModelMetricClaimedVerifiedStatus
1GPT4-TOPGUNWin rate86.54—Unverified
2Attention BucketWin rate71.5—Unverified
3GPT4- DFSDTWin rate70.4—Unverified