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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 21–30 of 324 papers

TitleStatusHype
OpenLKA: an open dataset of lane keeping assist from market autonomous vehiclesCode1
Reinforced Imitative Trajectory Planning for Urban Automated DrivingCode1
Lane Graph Estimation for Scene Understanding in Urban DrivingCode1
Convex Risk Bounded Continuous-Time Trajectory Planning and Tube Design in Uncertain Nonconvex EnvironmentsCode1
Learning Discrete World Models for Heuristic SearchCode1
MTP: Multi-Hypothesis Tracking and Prediction for Reduced Error PropagationCode1
CAFE-AD: Cross-Scenario Adaptive Feature Enhancement for Trajectory Planning in Autonomous DrivingCode1
DPMPC-Planner: A real-time UAV trajectory planning framework for complex static environments with dynamic obstaclesCode1
LTLDoG: Satisfying Temporally-Extended Symbolic Constraints for Safe Diffusion-based PlanningCode1
A technique to jointly estimate depth and depth uncertainty for unmanned aerial vehiclesCode1
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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