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 251275 of 324 papers

TitleStatusHype
"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 Robots0
Why can big.bi be changed to bi.gbi? A mathematical model of syllabification and articulatory synthesis0
World Models for Cognitive Agents: Transforming Edge Intelligence in Future Networks0
Ego-centric Learning of Communicative World Models for Autonomous Driving0
Zero-Shot Trajectory Planning for Signal Temporal Logic Tasks0
3D Lane Detection from Front or Surround-View using Joint-Modeling & Matching0
3D UAV Trajectory Planning for IoT Data Collection via Matrix-Based Evolutionary Computation0
Accelerating the Evolution of Personalized Automated Lane Change through Lesson Learning0
A Computationally Efficient Bi-level Coordination Framework for CAVs at Unsignalized Intersections0
Action and Trajectory Planning for Urban Autonomous Driving with Hierarchical Reinforcement Learning0
Active Learning for Nonlinear System Identification with Guarantees0
Actuator Trajectory Planning for UAVs with Overhead Manipulator using Reinforcement Learning0
Adaptive Field Effect Planner for Safe Interactive Autonomous Driving on Curved Roads0
A Dynamic Motion Planning Framework for Autonomous Driving in Urban Environments0
Aether: Geometric-Aware Unified World Modeling0
A Fully-Integrated Sensing and Control System for High-Accuracy Mobile Robotic Building Construction0
A Holistic Optimization Framework for Energy Efficient UAV-assisted Fog Computing: Attitude Control, Trajectory Planning and Task Assignment0
A Learning-Based Trajectory Planning of Multiple UAVs for AoI Minimization in IoT Networks0
Algorithms of Real-Time Navigation and Control of Autonomous Unmanned Vehicles0
AlphaPilot: Autonomous Drone Racing0
Altitude-Loss Optimal Glides in Engine Failure Emergencies -- Accounting for Ground Obstacles and Wind0
A message-passing algorithm for multi-agent trajectory planning0
Amortized Q-learning with Model-based Action Proposals for Autonomous Driving on Highways0
An Attention-based Recurrent Convolutional Network for Vehicle Taillight Recognition0
Show:102550
← PrevPage 11 of 13Next →

Benchmark Results

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