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

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 1–10 of 324 papers

Title	Date	Tasks	Status	Hype	Score
ViewCrafter: Taming Video Diffusion Models for High-fidelity Novel View Synthesis	Sep 3, 2024	3D Generation3D Reconstruction	CodeCode Available	5	5
ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs	Jul 31, 2023	Trajectory PlanningZero-shot Generalization	CodeCode Available	5	5
OpenDriveVLA: Towards End-to-end Autonomous Driving with Large Vision Language Action Model	Mar 30, 2025	Autonomous DrivingDecision Making	CodeCode Available	4	5
Planning-oriented Autonomous Driving	Dec 20, 2022	Autonomous DrivingBench2Drive	CodeCode Available	4	5
AutoVLA: A Vision-Language-Action Model for End-to-End Autonomous Driving with Adaptive Reasoning and Reinforcement Fine-Tuning	Jun 16, 2025	Action GenerationAutonomous Driving	CodeCode Available	3	5
VAD: Vectorized Scene Representation for Efficient Autonomous Driving	Mar 21, 2023	Autonomous DrivingBench2Drive	CodeCode Available	3	5
Epona: Autoregressive Diffusion World Model for Autonomous Driving	Jun 30, 2025	Autonomous Drivingmodel	CodeCode Available	3	5
Autonomous Driving on Curvy Roads Without Reliance on Frenet Frame: A Cartesian-Based Trajectory Planning Method	Feb 3, 2022	Autonomous DrivingCollision Avoidance	CodeCode Available	2	5
GPD-1: Generative Pre-training for Driving	Dec 11, 2024	Autonomous DrivingDecision Making	CodeCode Available	2	5
Advancing Learnable Multi-Agent Pathfinding Solvers with Active Fine-Tuning	Jun 30, 2025	Imitation LearningTrajectory Planning	CodeCode Available	2	5

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All datasets nuScenes ToolBench

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	ST-P3 (Lidar)	Collision-3s	1.27	—	Unverified
2	UniAD	Collision-3s	0.71	—	Unverified
3	VAD-Base [jiang2023vad]	Collision-3s	0.24	—	Unverified
4	AD-MLP	Collision-3s	0.24	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	GPT4-TOPGUN	Win rate	86.54	—	Unverified
2	Attention Bucket	Win rate	71.5	—	Unverified
3	GPT4- DFSDT	Win rate	70.4	—	Unverified