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 51–100 of 324 papers

TitleStatusHype
SwissNYF: Tool Grounded LLM Agents for Black Box SettingCode0
V2X-Assisted Distributed Computing and Control Framework for Connected and Automated Vehicles under Ramp Merging ScenarioCode0
Resilient UAV Swarm Communications with Graph Convolutional Neural NetworkCode0
Safe and Non-Conservative Trajectory Planning for Autonomous Driving Handling Unanticipated Behaviors of Traffic ParticipantsCode0
Prioritized Planning Algorithms for Trajectory Coordination of Multiple Mobile RobotsCode0
Planning Safety Trajectories with Dual-Phase, Physics-Informed, and Transportation Knowledge-Driven Large Language ModelsCode0
Parallelization of Monte Carlo Tree Search in Continuous DomainsCode0
Perception-and-Energy-aware Motion Planning for UAV using Learning-based Model under Heteroscedastic UncertaintyCode0
Non-iterative Optimization of Trajectory and Radio Resource for Aerial NetworkCode0
Machine Learning Optimized Orthogonal Basis Piecewise Polynomial ApproximationCode0
Mathematical Reasoning for Unmanned Aerial Vehicles: A RAG-Based Approach for Complex Arithmetic ReasoningCode0
Deep Movement Primitives: toward Breast Cancer Examination RobotCode0
MMP++: Motion Manifold Primitives with Parametric Curve ModelsCode0
Learning Reward Models for Cooperative Trajectory Planning with Inverse Reinforcement Learning and Monte Carlo Tree SearchCode0
Data Assimilation in Chaotic Systems Using Deep Reinforcement LearningCode0
Fortify the Shortest Stave in Attention: Enhancing Context Awareness of Large Language Models for Effective Tool UseCode0
GaussianFusion: Gaussian-Based Multi-Sensor Fusion for End-to-End Autonomous DrivingCode0
Conservative and Risk-Aware Offline Multi-Agent Reinforcement LearningCode0
Formation Control for Connected and Automated Vehicles on Multi-lane Roads: Relative Motion Planning and Conflict ResolutionCode0
Computing Forward Reachable Sets for Nonlinear Adaptive Multirotor Controllers—0
Computation Rate Maximum for Mobile Terminals in UAV-assisted Wireless Powered MEC Networks with Fairness Constraint—0
Combining Cooperative Re-Routing with Intersection Coordination for Connected and Automated Vehicles in Urban Networks—0
Combining Belief Function Theory and Stochastic Model Predictive Control for Multi-Modal Uncertainty in Autonomous Driving—0
Articulatory modeling of the S-shaped F2 trajectories observed in Öhman's spectrographic analysis of VCV syllables—0
A Learning-Based Trajectory Planning of Multiple UAVs for AoI Minimization in IoT Networks—0
CGD: Constraint-Guided Diffusion Policies for UAV Trajectory Planning—0
CarPlanner: Consistent Auto-regressive Trajectory Planning for Large-scale Reinforcement Learning in Autonomous Driving—0
A Robust Super-resolution Gridless Imaging Framework for UAV-borne SAR Tomography—0
Capturing Object Detection Uncertainty in Multi-Layer Grid Maps—0
A Real-time Spatio-Temporal Trajectory Planner for Autonomous Vehicles with Semantic Graph Optimization—0
A Holistic Optimization Framework for Energy Efficient UAV-assisted Fog Computing: Attitude Control, Trajectory Planning and Task Assignment—0
Active Learning for Nonlinear System Identification with Guarantees—0
Building Real-time Awareness of Out-of-distribution in Trajectory Prediction for Autonomous Vehicles—0
Bridging the Gap between Optimal Trajectory Planning and Safety-Critical Control with Applications to Autonomous Vehicles—0
Bridging the gap between Learning-to-plan, Motion Primitives and Safe Reinforcement Learning—0
BoT-Drive: Hierarchical Behavior and Trajectory Planning for Autonomous Driving using POMDPs—0
A Practical and Online Trajectory Planner for Autonomous Ships' Berthing, Incorporating Speed Control—0
A Fully-Integrated Sensing and Control System for High-Accuracy Mobile Robotic Building Construction—0
Benchmark for Models Predicting Human Behavior in Gap Acceptance Scenarios—0
A nonlinear tracking model predictive control scheme for dynamic target signals—0
Bayesian Optimization Enhanced Deep Reinforcement Learning for Trajectory Planning and Network Formation in Multi-UAV Networks—0
Emotion Based Prediction in the Context of Optimized Trajectory Planning for Immersive Learning—0
Efficient UAV Trajectory-Planning using Economic Reinforcement Learning—0
Backflipping with Miniature Quadcopters by Gaussian Process Based Control and Planning—0
A nonlinear real time capable motion cueing algorithm based on deep reinforcement learning—0
Aether: Geometric-Aware Unified World Modeling—0
Encoding Motion Primitives for Autonomous Vehicles using Virtual Velocity Constraints and Neural Network Scheduling—0
End-to-end Autonomous Driving using Deep Learning: A Systematic Review—0
Energy-efficient Hybrid Model Predictive Trajectory Planning for Autonomous Electric Vehicles—0
Action and Trajectory Planning for Urban Autonomous Driving with Hierarchical Reinforcement Learning—0
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All datasetsnuScenesToolBench

Benchmark Results

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