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 281–290 of 324 papers

TitleStatusHype
A Robust Super-resolution Gridless Imaging Framework for UAV-borne SAR Tomography—0
Articulatory modeling of the S-shaped F2 trajectories observed in Öhman's spectrographic analysis of VCV syllables—0
A Safer Vision-based Autonomous Planning System for Quadrotor UAVs with Dynamic Obstacle Trajectory Prediction and Its Application with LLMs—0
A Spatial-Domain Coordinated Control Method for CAVs at Unsignalized Intersections Considering Motion Uncertainty—0
Assembly robots with optimized control stiffness through reinforcement learning—0
A Successive-Elimination Approach to Adaptive Robotic Sensing—0
Attention-based UAV Trajectory Optimization for Wireless Power Transfer-assisted IoT Systems—0
Attention-Enhanced Prompt Decision Transformers for UAV-Assisted Communications with AoI—0
Automatic driving lane change safety prediction model based on LSTM—0
Automatic Parameter Tuning of Self-Driving Vehicles—0
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All datasetsnuScenesToolBench

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ST-P3 (Lidar)Collision-3s1.27—Unverified
2UniADCollision-3s0.71—Unverified
3VAD-Base [jiang2023vad]Collision-3s0.24—Unverified
4AD-MLPCollision-3s0.24—Unverified
#ModelMetricClaimedVerifiedStatus
1GPT4-TOPGUNWin rate86.54—Unverified
2Attention BucketWin rate71.5—Unverified
3GPT4- DFSDTWin rate70.4—Unverified