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 111–120 of 324 papers

TitleStatusHype
3D UAV Trajectory Planning for IoT Data Collection via Matrix-Based Evolutionary Computation—0
Calculation of time-optimal motion primitives for systems exhibiting oscillatory internal dynamics—0
EDRF: Enhanced Driving Risk Field Based on Multimodal Trajectory Prediction and Its Applications—0
From Turbulence to Tranquility: AI-Driven Low-Altitude Network—0
FutureSightDrive: Thinking Visually with Spatio-Temporal CoT for Autonomous Driving—0
Eco-driving Trajectory Planning of a Heterogeneous Platoon in Urban Environments—0
Autonomous Wheel Loader Trajectory Tracking Control Using LPV-MPC—0
Generative emulation of chaotic dynamics with coherent prior—0
An Efficient Generation Method based on Dynamic Curvature of the Reference Curve for Robust Trajectory Planning—0
Dynamic Multi-Objective Lion Swarm Optimization with Multi-strategy Fusion: An application in 6R robot trajectory planning—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