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 176–200 of 324 papers

TitleStatusHype
A technique to jointly estimate depth and depth uncertainty for unmanned aerial vehiclesCode1
Convex Risk Bounded Continuous-Time Trajectory Planning and Tube Design in Uncertain Nonconvex EnvironmentsCode1
Rethinking the Open-Loop Evaluation of End-to-End Autonomous Driving in nuScenesCode2
Altitude-Loss Optimal Glides in Engine Failure Emergencies -- Accounting for Ground Obstacles and Wind—0
Human-Robot Skill Transfer with Enhanced Compliance via Dynamic Movement Primitives—0
Multi-Agent Reachability Calibration with Conformal Prediction—0
Surrogate Neural Networks for Efficient Simulation-based Trajectory Planning Optimization—0
Autonomous Robotic Drilling System for Mice Cranial Window Creation: An Evaluation with an Egg Model—0
Vehicle Sequencing at Signal-Free Intersections: Analytical Performance Guarantees Based on PDMP Formulation—0
VAD: Vectorized Scene Representation for Efficient Autonomous DrivingCode3
Lane Graph as Path: Continuity-preserving Path-wise Modeling for Online Lane Graph ConstructionCode1
Performance Evaluation and Hybrid Application of the Greedy and Predictive UAV Trajectory Optimization Methods for Localizing a Target Mobile Device—0
RIS-Assisted Jamming Rejection and Path Planning for UAV-Borne IoT Platform: A New Deep Reinforcement Learning Framework—0
ODD-Centric Contextual Sensitivity Analysis Applied To A Non-Linear Vehicle Dynamics Model—0
Search-Based Task and Motion Planning for Hybrid Systems: Agile Autonomous VehiclesCode1
Robotic Navigation Autonomy for Subretinal Injection via Intelligent Real-Time Virtual iOCT Volume Slicing—0
Bayesian Optimization Enhanced Deep Reinforcement Learning for Trajectory Planning and Network Formation in Multi-UAV Networks—0
Standoff Tracking Using DNN-Based MPC with Implementation on FPGA—0
Planning-oriented Autonomous DrivingCode4
Towards Accurate Ground Plane Normal Estimation from Ego-MotionCode1
Benchmark for Models Predicting Human Behavior in Gap Acceptance Scenarios—0
Learning Deep Sensorimotor Policies for Vision-based Autonomous Drone Racing—0
Backflipping with Miniature Quadcopters by Gaussian Process Based Control and Planning—0
SAFER: Safe Collision Avoidance using Focused and Efficient Trajectory Search with Reinforcement Learning—0
Computing Forward Reachable Sets for Nonlinear Adaptive Multirotor Controllers—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