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

Showing 110 of 324 papers

TitleStatusHype
ViewCrafter: Taming Video Diffusion Models for High-fidelity Novel View SynthesisCode5
ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIsCode5
Planning-oriented Autonomous DrivingCode4
OpenDriveVLA: Towards End-to-end Autonomous Driving with Large Vision Language Action ModelCode4
VAD: Vectorized Scene Representation for Efficient Autonomous DrivingCode3
Epona: Autoregressive Diffusion World Model for Autonomous DrivingCode3
AutoVLA: A Vision-Language-Action Model for End-to-End Autonomous Driving with Adaptive Reasoning and Reinforcement Fine-TuningCode3
Generative Planning with 3D-vision Language Pre-training for End-to-End Autonomous DrivingCode2
GPD-1: Generative Pre-training for DrivingCode2
Advancing Learnable Multi-Agent Pathfinding Solvers with Active Fine-TuningCode2
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Benchmark Results

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