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 171–180 of 324 papers

Title	Date	Tasks	Status	Hype
Real-time goal recognition using approximations in Euclidean space	Jul 15, 2023	Trajectory Planning	—Unverified	0
RoCo: Dialectic Multi-Robot Collaboration with Large Language Models	Jul 10, 2023	Trajectory Planning	CodeCode Available	2
Why can big.bi be changed to bi.gbi? A mathematical model of syllabification and articulatory synthesis	Jul 5, 2023	Trajectory Planning	—Unverified	0
Action and Trajectory Planning for Urban Autonomous Driving with Hierarchical Reinforcement Learning	Jun 28, 2023	Autonomous DrivingAutonomous Vehicles	—Unverified	0
Model-aided Federated Reinforcement Learning for Multi-UAV Trajectory Planning in IoT Networks	Jun 3, 2023	Federated LearningMulti-agent Reinforcement Learning	CodeCode Available	1
A technique to jointly estimate depth and depth uncertainty for unmanned aerial vehicles	May 31, 2023	Autonomous VehiclesDepth Aleatoric Uncertainty Estimation	CodeCode Available	1
Convex Risk Bounded Continuous-Time Trajectory Planning and Tube Design in Uncertain Nonconvex Environments	May 26, 2023	Trajectory Planning	CodeCode Available	1
Rethinking the Open-Loop Evaluation of End-to-End Autonomous Driving in nuScenes	May 17, 2023	Autonomous DrivingTrajectory Planning	CodeCode Available	2
Altitude-Loss Optimal Glides in Engine Failure Emergencies -- Accounting for Ground Obstacles and Wind	Apr 13, 2023	Trajectory Planning	—Unverified	0
Human-Robot Skill Transfer with Enhanced Compliance via Dynamic Movement Primitives	Apr 12, 2023	Reinforcement Learning (RL)Trajectory Planning	—Unverified	0

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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