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Interaction-Aware Motion Planning in Crowded Dynamic Environments
B.F. Ferreira de Brito
Learning & Autonomous Control
Research output
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Thesis
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Dissertation (TU Delft)
193
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Dive into the research topics of 'Interaction-Aware Motion Planning in Crowded Dynamic Environments'. Together they form a unique fingerprint.
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INIS
dynamics
100%
motion
100%
interactions
100%
robots
100%
environment
100%
planning
100%
learning
92%
policy
71%
navigation
57%
trajectories
42%
collisions
42%
humans
42%
prediction
35%
simulation
35%
optimization
35%
velocity
35%
vehicles
28%
avoidance
28%
mpc
21%
space
21%
performance
21%
data
21%
algorithms
21%
constraints
21%
control
14%
comparative evaluations
14%
carbon dioxide
14%
cooperatives
14%
cost
14%
variational methods
14%
emission
7%
mixtures
7%
failures
7%
accounting
7%
efficiency
7%
maps
7%
geometry
7%
connections
7%
travel
7%
labor
7%
information
7%
cars
7%
neural networks
7%
output
7%
nonlinear problems
7%
streams
7%
architecture
7%
topology
7%
yields
7%
physics
7%
safety
7%
roads
7%
minkowski space
7%
Computer Science
Robot
100%
Motion Planning
100%
Dynamic Environment
100%
Deep Reinforcement Learning
40%
Autonomous Navigation
20%
Planning Algorithm
20%
Recurrent Neural Network
10%
Prediction Model
10%
Training Phase
10%
Heuristics
10%
Bayesian Learning
10%
Topology
10%
Mobile Robot
10%
Planning Stage
10%
Autonomous Robot Navigation
10%
multiple robot
10%
Data Stream
10%
Optimization Problem
10%
Autonomous Vehicles
10%
Multimodality
10%
mobile robot navigation
10%
Learning Framework
10%
Algorithm Performance
10%
Neural Network Architecture
10%
Deadlock
10%