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 171–180 of 324 papers

TitleStatusHype
Positioning Error Compensation by Channel Knowledge Map in UAV Communication Missions—0
Probabilistically Robust Trajectory Planning of Multiple Aerial Agents—0
Probabilistically Safe Robot Planning with Confidence-Based Human Predictions—0
Probability-Based Optimal Control Design for Soft Landing of Short-Stroke Actuators—0
Zero-Shot Trajectory Planning for Signal Temporal Logic Tasks—0
3D Lane Detection from Front or Surround-View using Joint-Modeling & Matching—0
3D UAV Trajectory Planning for IoT Data Collection via Matrix-Based Evolutionary Computation—0
Accelerating the Evolution of Personalized Automated Lane Change through Lesson Learning—0
A Computationally Efficient Bi-level Coordination Framework for CAVs at Unsignalized Intersections—0
Action and Trajectory Planning for Urban Autonomous Driving with Hierarchical Reinforcement Learning—0
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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