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 51–60 of 324 papers

TitleStatusHype
Resilient UAV Trajectory Planning via Few-Shot Meta-Offline Reinforcement Learning—0
Zero-Shot Trajectory Planning for Signal Temporal Logic Tasks—0
Systems Engineering for Autonomous Vehicles; Supervising AI using Large Language Models (SSuperLLM)—0
Generative Planning with 3D-vision Language Pre-training for End-to-End Autonomous DrivingCode2
OpenLKA: an open dataset of lane keeping assist from market autonomous vehiclesCode1
RFPPO: Motion Dynamic RRT based Fluid Field - PPO for Dynamic TF/TA Routing Planning—0
DrivingGPT: Unifying Driving World Modeling and Planning with Multi-modal Autoregressive Transformers—0
Multi-UAV Collaborative Trajectory Planning for Seamless Data Collection and Transmission—0
WiseAD: Knowledge Augmented End-to-End Autonomous Driving with Vision-Language ModelCode1
GPD-1: Generative Pre-training for DrivingCode2
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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