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 61–70 of 324 papers

Title	Date	Tasks	Status	Score
MMP++: Motion Manifold Primitives with Parametric Curve Models	Oct 26, 2023	Trajectory Planning	CodeCode Available	5
V2X-Assisted Distributed Computing and Control Framework for Connected and Automated Vehicles under Ramp Merging Scenario	Oct 30, 2024	Distributed ComputingModel Predictive Control	CodeCode Available	5
Formation Control for Connected and Automated Vehicles on Multi-lane Roads: Relative Motion Planning and Conflict Resolution	Mar 18, 2021	Decision MakingMotion Planning	CodeCode Available	5
Efficient Multi-Agent Trajectory Planning with Feasibility Guarantee using Relative Bernstein Polynomial	Sep 23, 2019	Collision AvoidanceCPU	CodeCode Available	5
Fortify the Shortest Stave in Attention: Enhancing Context Awareness of Large Language Models for Effective Tool Use	Dec 7, 2023	RAGTrajectory Planning	CodeCode Available	5
Conservative and Risk-Aware Offline Multi-Agent Reinforcement Learning	Feb 13, 2024	Multi-agent Reinforcement LearningQ-Learning	CodeCode Available	5
Deep Movement Primitives: toward Breast Cancer Examination Robot	Feb 14, 2022	Trajectory Planning	CodeCode Available	5
Parallelization of Monte Carlo Tree Search in Continuous Domains	Mar 30, 2020	Trajectory Planning	CodeCode Available	5
Data Assimilation in Chaotic Systems Using Deep Reinforcement Learning	Jan 1, 2024	Autonomous VehiclesDeep Reinforcement Learning	CodeCode Available	5
Computing Forward Reachable Sets for Nonlinear Adaptive Multirotor Controllers	Sep 16, 2022	Computational EfficiencyTrajectory 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