A5070129798- Robot Manipulation and Learning
- Human Pose and Action Recognition
- Autonomous Vehicle Technology and Safety
- Advanced Vision and Imaging
- Mobile Crowdsensing and Crowdsourcing
- Spatial Cognition and Navigation
- Opportunistic and Delay-Tolerant Networks
- Human Mobility and Location-Based Analysis
- Maritime Navigation and Safety
- Robotic Path Planning Algorithms
- Historical Geography and Cartography
- Robotics and Sensor-Based Localization
- Reinforcement Learning in Robotics
University of Trento
2023-2024
A clear understanding of where humans move in a scenario, their usual paths and speeds, they stop, is very important for different applications, such as mobility studies urban areas or robot navigation tasks within human-populated environments. We propose this article, neural architecture based on Vision Transformers (ViTs) to provide information. This solution can arguably capture spatial correlations more effectively than Convolutional Neural Networks (CNNs). In the paper, we describe...
When humans move in a shared space, they choose navigation strategies that preserve their mutual safety. At the same time, each human seeks to minimise number of modifications her/his path. In order achieve this result, use unwritten rules and reach consensus on decisions about motion direction by exchanging non-verbal messages. They then implement choice mutually acceptable way. Socially-aware denotes research effort aimed at replicating logic inside robots. Existing results focus either...
Robot-assisted navigation is a perfect example of class applications requiring flexible control approaches. When the human reliable, robot should concede space to their initiative. makes inappropriate choices controller kick-in guiding them towards safer paths. Shared authority way achieve this behaviour by deciding online how much be given and retained robot. An open problem evaluate appropriateness human's choices. One possible consider deviation from an ideal path computed This choice...
Abstract Robot-assisted navigation is a perfect example of class applications requiring flexible control approaches. When the human reliable, robot should concede space to their initiative. makes inappropriate choices controller kick-in guiding them towards safer paths. Shared authority way achieve this behaviour by deciding online how much be given and retained robot. An open problem evaluate appropriateness human’s choices. One possible consider deviation from an ideal path computed This...