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 211–220 of 324 papers

TitleStatusHype
A Learning System for Motion Planning of Free-Float Dual-Arm Space Manipulator towards Non-Cooperative ObjectCode1
Long-Tail Prediction Uncertainty Aware Trajectory Planning for Self-driving Vehicles—0
Optimized Views Photogrammetry: Precision Analysis and A Large-scale Case Study in Qingdao—0
ORFD: A Dataset and Benchmark for Off-Road Freespace DetectionCode2
Trajectory-guided Control Prediction for End-to-end Autonomous Driving: A Simple yet Strong BaselineCode1
Optimization of Robot Trajectory Planning with Nature-Inspired and Hybrid Quantum Algorithms—0
Eco-driving Trajectory Planning of a Heterogeneous Platoon in Urban Environments—0
The Fellowship of the Dyson Ring: ACT&Friends' Results and Methods for GTOC 11—0
Autonomous Wheel Loader Trajectory Tracking Control Using LPV-MPC—0
Cooperative Trajectory Planning in Uncertain Environments with Monte Carlo Tree Search and Risk Metrics—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