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 226–250 of 324 papers

TitleStatusHype
Transfer Learning Study of Motion Transformer-based Trajectory Predictions—0
UAV Trajectory Planning for AoI-Minimal Data Collection in UAV-Aided IoT Networks by Transformer—0
UAV Trajectory Planning in Wireless Sensor Networks for Energy Consumption Minimization by Deep Reinforcement Learning—0
Using Diffusion Ensembles to Estimate Uncertainty for End-to-End Autonomous Driving—0
V2X-VLM: End-to-End V2X Cooperative Autonomous Driving Through Large Vision-Language Models—0
Variable-Horizon Guidance for Autonomous Rendezvous and Docking to a Tumbling Target—0
Variable Time-Step MPC for Agile Multi-Rotor UAV Interception of Dynamic Targets—0
Variations in Multi-Agent Actor-Critic Frameworks for Joint Optimizations in UAV Swarm Networks: Recent Evolution, Challenges, and Directions—0
Vehicle Sequencing at Signal-Free Intersections: Analytical Performance Guarantees Based on PDMP Formulation—0
VERDI: VLM-Embedded Reasoning for Autonomous Driving—0
Autonomous Navigation of Underactuated Bipedal Robots in Height-Constrained Environments—0
Vision-Based Lane-Changing Behavior Detection Using Deep Residual Neural Network—0
VM-MODNet: Vehicle Motion aware Moving Object Detection for Autonomous Driving—0
"What are my options?": Explaining RL Agents with Diverse Near-Optimal Alternatives (Extended)—0
Who Plays First? Optimizing the Order of Play in Stackelberg Games with Many Robots—0
Why can big.bi be changed to bi.gbi? A mathematical model of syllabification and articulatory synthesis—0
World Models for Cognitive Agents: Transforming Edge Intelligence in Future Networks—0
Ego-centric Learning of Communicative World Models for Autonomous Driving—0
Provably safe and human-like car-following behaviors: Part 2. A parsimonious multi-phase model with projected braking—0
Provably safe and human-like car-following behaviors: Part 1. Analysis of phases and dynamics in standard models—0
QoE Maximization for Multiple-UAV-Assisted Multi-Access Edge Computing: An Online Joint Optimization Approach—0
Quadrotor Takeoff Trajectory Planning in a One-Dimensional Uncertain Wind-field Aided by Wind-Sensing Infrastructure—0
Reachable Sets-based Trajectory Planning Combining Reinforcement Learning and iLQR—0
Reactive Multi-Robot Navigation in Outdoor Environments Through Uncertainty-Aware Active Learning of Human Preference Landscape—0
Real-Time Optimal Trajectory Planning for Autonomous Vehicles and Lap Time Simulation Using Machine Learning—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