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 171–180 of 324 papers

TitleStatusHype
Data Assimilation in Chaotic Systems Using Deep Reinforcement LearningCode0
Emotion Based Prediction in the Context of Optimized Trajectory Planning for Immersive Learning—0
Minimum-Time Trajectory Optimization With Data-Based Models: A Linear Programming Approach—0
Fortify the Shortest Stave in Attention: Enhancing Context Awareness of Large Language Models for Effective Tool UseCode0
RL-Based Cargo-UAV Trajectory Planning and Cell Association for Minimum Handoffs, Disconnectivity, and Energy Consumption—0
Optimal trajectory planning meets network-level routing: Integrated control framework for emerging mobility systems—0
A Safer Vision-based Autonomous Planning System for Quadrotor UAVs with Dynamic Obstacle Trajectory Prediction and Its Application with LLMs—0
Model Checking for Closed-Loop Robot Reactive Planning—0
UAV Trajectory Planning for AoI-Minimal Data Collection in UAV-Aided IoT Networks by Transformer—0
Taking a PEEK into YOLOv5 for Satellite Component Recognition via Entropy-based Visual Explanations—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