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 11–20 of 324 papers

Title	Date	Tasks	Status	Hype
A Simple and Model-Free Path Filtering Algorithm for Smoothing and Accuracy	Jul 23, 2023	Autonomous DrivingDenoising	CodeCode Available	2
RoCo: Dialectic Multi-Robot Collaboration with Large Language Models	Jul 10, 2023	Trajectory Planning	CodeCode Available	2
Rethinking the Open-Loop Evaluation of End-to-End Autonomous Driving in nuScenes	May 17, 2023	Autonomous DrivingTrajectory Planning	CodeCode Available	2
ORFD: A Dataset and Benchmark for Off-Road Freespace Detection	Jun 20, 2022	Autonomous DrivingSemantic Segmentation	CodeCode Available	2
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
FASTER: Fast and Safe Trajectory Planner for Navigation in Unknown Environments	Jan 9, 2020	Motion PlanningTrajectory Planning	CodeCode Available	2
CAFE-AD: Cross-Scenario Adaptive Feature Enhancement for Trajectory Planning in Autonomous Driving	Apr 9, 2025	Autonomous DrivingFeature Importance	CodeCode Available	1
SEAL: Safety Enhanced Trajectory Planning and Control Framework for Quadrotor Flight in Complex Environments	Mar 5, 2025	Model Predictive ControlTrajectory Planning	CodeCode Available	1
OpenLKA: an open dataset of lane keeping assist from market autonomous vehicles	Jan 6, 2025	Autonomous VehiclesTrajectory Planning	CodeCode Available	1
WiseAD: Knowledge Augmented End-to-End Autonomous Driving with Vision-Language Model	Dec 13, 2024	Autonomous DrivingDecision Making	CodeCode Available	1

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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	AD-MLP	Collision-3s	0.24	—	Unverified
4	VAD-Base [jiang2023vad]	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