TALK KEYWORD INDEX
This page contains an index consisting of author-provided keywords.
3 | |
3D Object Model | |
6 | |
6DoF | |
A | |
Adversarial Attacks | |
Aerial Vehicles | |
agricultural robotic | |
agricultural robotics | |
Agricultural robots | |
Ant Colony Optimization | |
assistive robotics | |
autonomous driving | |
autonomous elevator operation | |
Autonomous mobile robot | |
Autonomous mobile robots | |
Autonomous navigation | |
Autonomous vehicles | |
B | |
Buoy-ballast system | |
button localization | |
Bézier | |
C | |
Cable control | |
Cable deformation | |
calibration | |
Camera | |
Capacitated Vehicle Routing Problem Pickup and dropoff | |
CNN-based perception | |
collaborative robotics | |
Computer vision | |
Continual Learning | |
Correspondence Prediction | |
Custom Loss Function | |
D | |
Dataset generation | |
deep learning | |
Delta | |
detector model | |
difficulty | |
distributed | |
domain adaptation | |
Door-status detection | |
drone imagery | |
Dynamic Industrial Scenario | |
Dynamic object | |
Dynamic SLAM | |
dynamics model learning | |
E | |
Early Fusion | |
End-to-end path estimation | |
environment condition | |
Environment-specific vision models | |
Environmental monitoring | |
Epipolar | |
Estimation | |
evaluation pipeline | |
event cameras | |
F | |
Failure Detection | |
fault-tolerant and compliant robot control | |
Feature Learning and Matching | |
Fiducial markers | |
Field robotics | |
Filter | |
finite-time | |
flexible | |
Flocking behaviour | |
Formation control | |
Formation planning | |
G | |
Gas sensing | |
Gaussian Mixture Model | |
GPS-free | |
grape bunch segmentation | |
Graph Attention Networks | |
Graph Convolutional Network | |
Graph-based optimization | |
Graph-based SLAM | |
guidance vector field | |
H | |
heuristic solver | |
Human Action Recognition | |
Human Detection | |
Human Motion Prediction | |
human tracking | |
Human-Aware Task Planner | |
human-centered benchmarking | |
Human-Robot Collaboration | |
Human-robot interaction | |
Hybrid A-star | |
I | |
Indoor environments | |
industrial mobile robots | |
Intel Realsense T265 | |
L | |
Late Fusion | |
learning from demonstration | |
learning-based control | |
legged | |
Levenberg-Marquard | |
lidar | |
Lidar and Camera Fusion | |
Lidar-Inertial Odometry | |
Localization | |
logistics | |
Long-term localization | |
Lyapunov stability | |
M | |
Machine Learning | |
manipulator | |
map matching and merging | |
Mapless navigation | |
Mapping | |
Maps of dynamics | |
Maritime robotics | |
markov decision process | |
MAV | |
medical robotics | |
Mobile | |
Mobile Manipulator | |
Mobile Robotics | |
Model Predictive Control | |
monocular depth estimation | |
Monocular Localization | |
motion | |
Motion pattern | |
Motion Planning | |
movement analysis | |
Multi-Agent Path Finding | |
Multi-Agent Pickup and Delivery | |
Multi-goal path planning | |
Multi-Modal Perception | |
Multi-object Tracking | |
multi-robot cooperation | |
Multi-Robot Optimization | |
Multi-robot planning and coordination | |
multi-task learning (MTL) | |
Multimodality | |
N | |
Navigation | |
Navigation Planning | |
Neural perception | |
non-anthropomorphic arm | |
Non-holonomic constraint | |
Nonlinear Model Predictive Control (NMPC) | |
nonlinear optimization | |
Normal Distribution Transform | |
O | |
Object Detection | |
Object pose estimation | |
Obstacle Avoidance | |
odometry | |
omnidirectional | |
open-pit mining | |
Optical flow | |
optimization | |
Outdoor Robotics | |
P | |
Path planning | |
Path Planning with Delays | |
perception | |
perspective n-point problem | |
planning | |
planning under uncertainty | |
Point Cloud | |
Point Cloud Registration | |
Point Cloud Segmentation | |
Polygonal domain | |
Pose | |
Pose estimation | |
Pose-graph SLAM | |
Precision Agriculture | |
preintegration | |
R | |
Real-world experiments | |
recognition skills | |
Reconstruction | |
Registration | |
Reinforcement Learning | |
Representation learning | |
resilient | |
Retail Robots | |
Reverse engineering | |
RGB-D camera | |
robot | |
robot coach | |
Robot Navigation | |
Robot Vision | |
robot-assisted container loading | |
Robotics | |
robots | |
Robustness | |
S | |
Segmentation Neural Network | |
Semantic Mapping | |
Sensor Fusion | |
Sensor-based Control | |
Sensors Fusion | |
sim2real | |
Simultaneous Localization and Mapping | |
SINDy | |
SLAM | |
Smart agriculture | |
Smart viticulture | |
Social Navigation | |
Social norms | |
Social Robot Navigation | |
social robotics | |
Spherical | |
State-space model | |
stereo cameras | |
surgical fine-tuning | |
Swarm robotics | |
Symmetric object pose | |
System Identification | |
sythetic data | |
T | |
target tracking | |
task allocation | |
teach-and-repeat | |
terrain-aware navigation | |
tightly-coupled | |
time bounded | |
Trajectory | |
Traveling Salesman Problem | |
travelling salesperson problem | |
U | |
Umbilical management | |
Underwater system | |
Uneven Terrain Navigation | |
Unstructured environment | |
V | |
Vision for mobile robots | |
Visual navigation | |
visual odometry and SLAM | |
Visual Predictive Control (VPC) | |
Voronoi diagrams | |
W | |
warehouse dataset | |
Y | |
Yaw Estimation | |
Z | |
zebra detection | |
zebras |