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Probabilistic Motion Planning for Multi-Robot Systems
H. Zhu
Learning & Autonomous Control
Research output
:
Thesis
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Dissertation (TU Delft)
890
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Dive into the research topics of 'Probabilistic Motion Planning for Multi-Robot Systems'. Together they form a unique fingerprint.
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INIS
motion
100%
robots
100%
probabilistic estimation
100%
planning
100%
control
33%
trajectories
22%
nonlinear problems
22%
safety
19%
collisions
16%
barriers
13%
prediction
11%
velocity
11%
probability
8%
environment
8%
constraints
8%
avoidance
5%
neural networks
5%
disturbances
5%
navigation
5%
levels
2%
mpc
2%
dynamical systems
2%
applications
2%
simulation
2%
monitoring
2%
comparative evaluations
2%
space
2%
cinematography
2%
gauss function
2%
performance
2%
buffers
2%
sensors
2%
filters
2%
decision making
2%
Computer Science
Robot
100%
Motion Planning
100%
multiple robot
100%
Control Method
17%
Recurrent Neural Network
8%
Prediction Model
8%
Programs
8%
Motion Behavior
4%
Robot Safety
4%
And-States
4%
Differential Drive
4%
Computing
4%
World Application
4%
Utmost Importance
4%
Engineering
Robot System
100%
Predictive Control Model
26%
Nonlinear Model
23%
Models
20%
Accident Prevention
20%
Quadratically Constrained Quadratic Program
6%
Collision Avoidance
6%
Safe Navigation
6%
Recurrent Neural Network
6%
State Model
3%
Obtains
3%
Real World Application
3%
Gaussians
3%
Control Input
3%
Drives
3%
Experiments
3%
Target Tracking
3%
Tasks
3%
Compute
3%