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 141–150 of 324 papers

TitleStatusHype
Automatic driving lane change safety prediction model based on LSTM—0
A message-passing algorithm for multi-agent trajectory planning—0
A Computationally Efficient Bi-level Coordination Framework for CAVs at Unsignalized Intersections—0
Diffusion Models for Robotic Manipulation: A Survey—0
Diffusion Meets Options: Hierarchical Generative Skill Composition for Temporally-Extended Tasks—0
Attention-Enhanced Prompt Decision Transformers for UAV-Assisted Communications with AoI—0
Deep RL-based Trajectory Planning for AoI Minimization in UAV-assisted IoT—0
Deep Reinforcement Learning with a Stage Incentive Mechanism of Dense Reward for Robotic Trajectory Planning—0
Attention-based UAV Trajectory Optimization for Wireless Power Transfer-assisted IoT Systems—0
Altitude-Loss Optimal Glides in Engine Failure Emergencies -- Accounting for Ground Obstacles and Wind—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