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

Showing 201250 of 324 papers

TitleStatusHype
Articulatory modeling of the S-shaped F2 trajectories observed in Öhman's spectrographic analysis of VCV syllables0
A Safer Vision-based Autonomous Planning System for Quadrotor UAVs with Dynamic Obstacle Trajectory Prediction and Its Application with LLMs0
A Spatial-Domain Coordinated Control Method for CAVs at Unsignalized Intersections Considering Motion Uncertainty0
Assembly robots with optimized control stiffness through reinforcement learning0
A Successive-Elimination Approach to Adaptive Robotic Sensing0
Attention-based UAV Trajectory Optimization for Wireless Power Transfer-assisted IoT Systems0
Attention-Enhanced Prompt Decision Transformers for UAV-Assisted Communications with AoI0
Automatic driving lane change safety prediction model based on LSTM0
Automatic Parameter Tuning of Self-Driving Vehicles0
Autonomous Emergency Collision Avoidance and Stabilisation in Structured Environments0
Autonomous Robotic Drilling System for Mice Cranial Window Creation: An Evaluation with an Egg Model0
Autonomous Robotic Drilling System for Mice Cranial Window Creation0
Autonomous Wheel Loader Trajectory Tracking Control Using LPV-MPC0
Backflipping with Miniature Quadcopters by Gaussian Process Based Control and Planning0
Bayesian Optimization Enhanced Deep Reinforcement Learning for Trajectory Planning and Network Formation in Multi-UAV Networks0
Benchmark for Models Predicting Human Behavior in Gap Acceptance Scenarios0
BoT-Drive: Hierarchical Behavior and Trajectory Planning for Autonomous Driving using POMDPs0
Bridging the gap between Learning-to-plan, Motion Primitives and Safe Reinforcement Learning0
Bridging the Gap between Optimal Trajectory Planning and Safety-Critical Control with Applications to Autonomous Vehicles0
Trajectory planning with a dynamic obstacle clustering strategy using Mixed-Integer Linear Programming0
Trajectory Planning with Deep Reinforcement Learning in High-Level Action Spaces0
Trajectory Planning with Model Predictive Control for Obstacle Avoidance Considering Prediction Uncertainty0
Trajectory Planning with Signal Temporal Logic Costs using Deterministic Path Integral Optimization0
TransDiffuser: End-to-end Trajectory Generation with Decorrelated Multi-modal Representation for Autonomous Driving0
Transferable Pedestrian Motion Prediction Models at Intersections0
Transfer Learning Study of Motion Transformer-based Trajectory Predictions0
UAV Trajectory Planning for AoI-Minimal Data Collection in UAV-Aided IoT Networks by Transformer0
UAV Trajectory Planning in Wireless Sensor Networks for Energy Consumption Minimization by Deep Reinforcement Learning0
Using Diffusion Ensembles to Estimate Uncertainty for End-to-End Autonomous Driving0
V2X-VLM: End-to-End V2X Cooperative Autonomous Driving Through Large Vision-Language Models0
Variable-Horizon Guidance for Autonomous Rendezvous and Docking to a Tumbling Target0
Variable Time-Step MPC for Agile Multi-Rotor UAV Interception of Dynamic Targets0
Variations in Multi-Agent Actor-Critic Frameworks for Joint Optimizations in UAV Swarm Networks: Recent Evolution, Challenges, and Directions0
Vehicle Sequencing at Signal-Free Intersections: Analytical Performance Guarantees Based on PDMP Formulation0
VERDI: VLM-Embedded Reasoning for Autonomous Driving0
Autonomous Navigation of Underactuated Bipedal Robots in Height-Constrained Environments0
Vision-Based Lane-Changing Behavior Detection Using Deep Residual Neural Network0
VM-MODNet: Vehicle Motion aware Moving Object Detection for Autonomous Driving0
"What are my options?": Explaining RL Agents with Diverse Near-Optimal Alternatives (Extended)0
Who Plays First? Optimizing the Order of Play in Stackelberg Games with Many Robots0
Why can big.bi be changed to bi.gbi? A mathematical model of syllabification and articulatory synthesis0
World Models for Cognitive Agents: Transforming Edge Intelligence in Future Networks0
Ego-centric Learning of Communicative World Models for Autonomous Driving0
Provably safe and human-like car-following behaviors: Part 2. A parsimonious multi-phase model with projected braking0
Provably safe and human-like car-following behaviors: Part 1. Analysis of phases and dynamics in standard models0
QoE Maximization for Multiple-UAV-Assisted Multi-Access Edge Computing: An Online Joint Optimization Approach0
Quadrotor Takeoff Trajectory Planning in a One-Dimensional Uncertain Wind-field Aided by Wind-Sensing Infrastructure0
Reachable Sets-based Trajectory Planning Combining Reinforcement Learning and iLQR0
Reactive Multi-Robot Navigation in Outdoor Environments Through Uncertainty-Aware Active Learning of Human Preference Landscape0
Real-Time Optimal Trajectory Planning for Autonomous Vehicles and Lap Time Simulation Using Machine Learning0
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Benchmark Results

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