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 71–80 of 324 papers

TitleStatusHype
A nonlinear real time capable motion cueing algorithm based on deep reinforcement learning—0
Aether: Geometric-Aware Unified World Modeling—0
3D UAV Trajectory Planning for IoT Data Collection via Matrix-Based Evolutionary Computation—0
Distributed Scheduling at Non-Signalized Intersections with Mixed Cooperative and Non-Cooperative Vehicles—0
Autonomous Wheel Loader Trajectory Tracking Control Using LPV-MPC—0
An Efficient Generation Method based on Dynamic Curvature of the Reference Curve for Robust Trajectory Planning—0
Autonomous Robotic Drilling System for Mice Cranial Window Creation—0
Autonomous Robotic Drilling System for Mice Cranial Window Creation: An Evaluation with an Egg Model—0
An Attention-based Recurrent Convolutional Network for Vehicle Taillight Recognition—0
A Dynamic Motion Planning Framework for Autonomous Driving in Urban Environments—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