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 | |