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 11–20 of 324 papers

TitleStatusHype
Advancing Learnable Multi-Agent Pathfinding Solvers with Active Fine-TuningCode2
Generative Planning with 3D-vision Language Pre-training for End-to-End Autonomous DrivingCode2
RoCo: Dialectic Multi-Robot Collaboration with Large Language ModelsCode2
ORFD: A Dataset and Benchmark for Off-Road Freespace DetectionCode2
A Simple and Model-Free Path Filtering Algorithm for Smoothing and AccuracyCode2
Rethinking the Open-Loop Evaluation of End-to-End Autonomous Driving in nuScenesCode2
GNN-Empowered Effective Partial Observation MARL Method for AoI Management in Multi-UAV NetworkCode1
GAMMA: Generalizable Articulation Modeling and Manipulation for Articulated ObjectsCode1
Lane Graph as Path: Continuity-preserving Path-wise Modeling for Online Lane Graph ConstructionCode1
DPMPC-Planner: A real-time UAV trajectory planning framework for complex static environments with dynamic obstaclesCode1
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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