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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 181–190 of 324 papers

TitleStatusHype
Stochastic Time-Optimal Trajectory Planning for Connected and Automated Vehicles in Mixed-Traffic Merging Scenarios—0
Safe multi-agent motion planning under uncertainty for drones using filtered reinforcement learning—0
MMP++: Motion Manifold Primitives with Parametric Curve ModelsCode0
Model Predictive Planning: Trajectory Planning in Obstruction-Dense Environments for Low-Agility Aircraft—0
Perception-and-Energy-aware Motion Planning for UAV using Learning-based Model under Heteroscedastic UncertaintyCode0
Integrating Higher-Order Dynamics and Roadway-Compliance into Constrained ILQR-based Trajectory Planning for Autonomous Vehicles—0
Learning-Initialized Trajectory Planning in Unknown Environments—0
A Computationally Efficient Bi-level Coordination Framework for CAVs at Unsignalized Intersections—0
End-to-end Autonomous Driving using Deep Learning: A Systematic Review—0
Interaction-Aware Trajectory Prediction and Planning in Dense Highway Traffic using Distributed Model Predictive Control—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