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 301–324 of 324 papers

TitleStatusHype
Building Real-time Awareness of Out-of-distribution in Trajectory Prediction for Autonomous Vehicles—0
Capturing Object Detection Uncertainty in Multi-Layer Grid Maps—0
CarPlanner: Consistent Auto-regressive Trajectory Planning for Large-scale Reinforcement Learning in Autonomous Driving—0
CGD: Constraint-Guided Diffusion Policies for UAV Trajectory Planning—0
Combining Belief Function Theory and Stochastic Model Predictive Control for Multi-Modal Uncertainty in Autonomous Driving—0
Combining Cooperative Re-Routing with Intersection Coordination for Connected and Automated Vehicles in Urban Networks—0
Computation Rate Maximum for Mobile Terminals in UAV-assisted Wireless Powered MEC Networks with Fairness Constraint—0
Computing Forward Reachable Sets for Nonlinear Adaptive Multirotor Controllers—0
Continuous Trajectory Planning Based on Learning Optimization in High Dimensional Input Space for Serial Manipulators—0
Continuous Transfer Learning for UAV Communication-aware Trajectory Design—0
Cooperative Trajectory Planning in Uncertain Environments with Monte Carlo Tree Search and Risk Metrics—0
Cooperative Trajectory Planning: Principles for Human-Machine System Design on Trajectory Level—0
Data Driven Aircraft Trajectory Prediction with Deep Imitation Learning—0
Deep 6-DoF Tracking of Unknown Objects for Reactive Grasping—0
Deep Reinforcement Learning for Motion Planning of Mobile Robots—0
Deep reinforcement learning for optical systems: A case study of mode-locked lasers—0
Deep Reinforcement Learning with a Stage Incentive Mechanism of Dense Reward for Robotic Trajectory Planning—0
Deep RL-based Trajectory Planning for AoI Minimization in UAV-assisted IoT—0
Diffusion Meets Options: Hierarchical Generative Skill Composition for Temporally-Extended Tasks—0
Diffusion Models for Robotic Manipulation: A Survey—0
Disconnectivity-Aware Energy-Efficient Cargo-UAV Trajectory Planning with Minimum Handoffs—0
Distributed Cooperative Control and Optimization of Connected Automated Vehicles Platoon Against Cut-in Behaviors of Social Drivers—0
Distributed Dynamic Platoons Control and Junction Crossing Optimization for Mixed Traffic Flows in Smart Cities- Part I. Fundamentals, Theoretical and Automatic Decision Framework—0
Distributed Multi-Objective Dynamic Offloading Scheduling for Air-Ground Cooperative MEC—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