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 101–110 of 324 papers

TitleStatusHype
Energy-efficient Hybrid Model Predictive Trajectory Planning for Autonomous Electric Vehicles—0
V2X-Assisted Distributed Computing and Control Framework for Connected and Automated Vehicles under Ramp Merging ScenarioCode0
Learning Maximal Safe Sets Using Hypernetworks for MPC-based Local Trajectory Planning in Unknown Environments—0
Markov Potential Game with Final-time Reach-Avoid Objectives—0
Cooperative Trajectory Planning: Principles for Human-Machine System Design on Trajectory Level—0
EDRF: Enhanced Driving Risk Field Based on Multimodal Trajectory Prediction and Its Applications—0
Inadequate contrast ratio of road markings as an indicator for ADAS failure—0
Variations in Multi-Agent Actor-Critic Frameworks for Joint Optimizations in UAV Swarm Networks: Recent Evolution, Challenges, and Directions—0
3D UAV Trajectory Planning for IoT Data Collection via Matrix-Based Evolutionary Computation—0
Diffusion Meets Options: Hierarchical Generative Skill Composition for Temporally-Extended Tasks—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