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 126–150 of 324 papers

TitleStatusHype
Let Hybrid A* Path Planner Obey Traffic Rules: A Deep Reinforcement Learning-Based Planning Framework—0
Automatic Parameter Tuning of Self-Driving Vehicles—0
Optimizing Energy-Efficient Braking Trajectories with Anticipatory Road Data for Automated Vehicles—0
Enhancing the LLM-Based Robot Manipulation Through Human-Robot Collaboration—0
Autonomous Robotic Drilling System for Mice Cranial Window Creation—0
Safe and Non-Conservative Trajectory Planning for Autonomous Driving Handling Unanticipated Behaviors of Traffic ParticipantsCode0
QoE Maximization for Multiple-UAV-Assisted Multi-Access Edge Computing: An Online Joint Optimization Approach—0
Dynamic Multi-Objective Lion Swarm Optimization with Multi-strategy Fusion: An application in 6R robot trajectory planning—0
Continuous Transfer Learning for UAV Communication-aware Trajectory Design—0
SOMTP: Self-Supervised Learning-Based Optimizer for MPC-Based Safe Trajectory Planning Problems in Robotics—0
Accelerating the Evolution of Personalized Automated Lane Change through Lesson Learning—0
CGD: Constraint-Guided Diffusion Policies for UAV Trajectory Planning—0
Non-iterative Optimization of Trajectory and Radio Resource for Aerial NetworkCode0
Three-Dimension Collision-Free Trajectory Planning of UAVs Based on ADS-B Information in Low-Altitude Urban Airspace—0
S4TP: Social-Suitable and Safety-Sensitive Trajectory Planning for Autonomous Vehicles—0
Guaranteed Reachability on Riemannian Manifolds for Unknown Nonlinear Systems—0
Synergising Human-like Responses and Machine Intelligence for Planning in Disaster Response—0
Sampling for Model Predictive Trajectory Planning in Autonomous Driving using Normalizing Flows—0
Transfer Learning Study of Motion Transformer-based Trajectory Predictions—0
LaPlaSS: Latent Space Planning for Stochastic Systems—0
MarsSeg: Mars Surface Semantic Segmentation with Multi-level Extractor and Connector—0
Towards Scalable & Efficient Interaction-Aware Planning in Autonomous Vehicles using Knowledge Distillation—0
Robust Trajectory and Resource Optimization for Communication-assisted UAV SAR Sensing—0
Probability-Based Optimal Control Design for Soft Landing of Short-Stroke Actuators—0
Multi-Objective Trajectory Planning with Dual-Encoder—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