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

Showing 131140 of 324 papers

TitleStatusHype
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 Approach0
Dynamic Multi-Objective Lion Swarm Optimization with Multi-strategy Fusion: An application in 6R robot trajectory planning0
Continuous Transfer Learning for UAV Communication-aware Trajectory Design0
SOMTP: Self-Supervised Learning-Based Optimizer for MPC-Based Safe Trajectory Planning Problems in Robotics0
Accelerating the Evolution of Personalized Automated Lane Change through Lesson Learning0
CGD: Constraint-Guided Diffusion Policies for UAV Trajectory Planning0
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 Airspace0
S4TP: Social-Suitable and Safety-Sensitive Trajectory Planning for Autonomous Vehicles0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ST-P3 (Lidar)Collision-3s1.27Unverified
2UniADCollision-3s0.71Unverified
3AD-MLPCollision-3s0.24Unverified
4VAD-Base [jiang2023vad]Collision-3s0.24Unverified
#ModelMetricClaimedVerifiedStatus
1GPT4-TOPGUNWin rate86.54Unverified
2Attention BucketWin rate71.5Unverified
3GPT4- DFSDTWin rate70.4Unverified