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How can multiple humans interact with multiple robots? The goal of our research is to create an effective interface that allows multiple operators to collaboratively control teams of robots in complex tasks. In this paper, we focus on a key…

机器人学 · 计算机科学 2021-02-02 Jayam Patel , Tyagaraja Ramaswamy , Zhi Li , Carlo Pinciroli

We propose a novel concept of augmented reality (AR) human-drone interaction driven by RL-based swarm behavior to achieve intuitive and immersive control of a swarm formation of unmanned aerial vehicles. The DroneARchery system developed by…

In the 21st century, the industry of drones, also known as Unmanned Aerial Vehicles (UAVs), has witnessed a rapid increase with its large number of airspace users. The tremendous benefits of this technology in civilian applications such as…

We present a multimodal interaction framework suitable for a human rescuer that operates in proximity with a set of co-located drones during search missions. This work is framed in the context of the SHERPA project whose goal is to develop…

机器人学 · 计算机科学 2016-05-25 Jonathan Cacace , Alberto Finzi , Vincenzo Lippiello

Unmanned aerial vehicles (UAVs) have become very popular for many military and civilian applications including in agriculture, construction, mining, environmental monitoring, etc. A desirable feature for UAVs is the ability to navigate and…

机器人学 · 计算机科学 2021-11-02 Taha Elmokadem

In recent years, impressive results have been achieved in robotic manipulation. While many efforts focus on generating collision-free reference signals, few allow safe contact between the robot bodies and the environment. However, in…

机器人学 · 计算机科学 2022-11-16 Xinghao Zhu , Wenzhao Lian , Bodi Yuan , C. Daniel Freeman , Masayoshi Tomizuka

Safety concerns have risen as robots become more integrated into our daily lives and continue to interact closely with humans. One of the most crucial safety priorities is preventing collisions between robots and people walking nearby.…

机器人学 · 计算机科学 2023-12-08 Atefeh Fereydooni , Armin Azarakhsh , Ayda Shafiei , Hesam Zandi , Mehdi Delrobaei

As high-speed, agile robots become more commonplace, these robots will have the potential to better aid and collaborate with humans. However, due to the increased agility and functionality of these robots, close collaboration with humans…

Humans are well-adept at navigating public spaces shared with others, where current autonomous mobile robots still struggle: while safely and efficiently reaching their goals, humans communicate their intentions and conform to unwritten…

机器人学 · 计算机科学 2023-08-10 Duc M. Nguyen , Mohammad Nazeri , Amirreza Payandeh , Aniket Datar , Xuesu Xiao

Human-robot interaction can be divided into two categories based on the physical distance between the human and robot: remote and proximal. In proximal interaction, the human and robot often engage in close coordination; in remote…

人工智能 · 计算机科学 2014-12-10 Vignesh Narayanan , Yu Zhang , Nathaniel Mendoza , Subbarao Kambhampati

Household robots boasting mobility, more sophisticated sensors, and powerful processing models have become increasingly prevalent in the commercial market. However, these features may expose users to unwanted privacy risks, including…

人机交互 · 计算机科学 2026-02-20 Jennica Li , Shirley Zhang , Dakota Sullivan , Bengisu Cagiltay , Heather Kirkorian , Bilge Mutlu , Kassem Fawaz

Most telemanipulation systems for aerial robots provide the operator with only 2D screen visual information. The lack of richer information about the robot's status and environment can limit human awareness and, in turn, task performance.…

机器人学 · 计算机科学 2024-10-22 Julien Mellet , Mike Allenspach , Eugenio Cuniato , Claudio Pacchierotti , Roland Siegwart , Marco Tognon

For humans and robots to form an effective human-robot team (HRT) there must be sufficient trust between team members throughout a mission. We analyze data from an HRT experiment focused on trust dynamics in teams of one human and two…

The new industrial settings are characterized by the presence of human and robots that work in close proximity, cooperating in performing the required job. Such a collaboration, however, requires to pay attention to many aspects. Firstly,…

机器人学 · 计算机科学 2024-09-12 Davide Ferrari , Andrea Pupa , Alberto Signoretti , Cristian Secchi

This paper develops a methodology for collaborative human-robot exploration that leverages implicit coordination. Most autonomous single- and multi-robot exploration systems require a remote operator to provide explicit guidance to the…

机器人学 · 计算机科学 2023-04-20 Yves Georgy Daoud , Kshitij Goel , Nathan Michael , Wennie Tabib

Several industry leaders and governmental agencies are currently investigating the use of Unmanned Aerial Vehicles (UAVs), or drones as commonly known, for an ever-growing number of applications from blue light services to parcel delivery.…

信号处理 · 电气工程与系统科学 2019-12-03 Antonio J. Torija , Zhengguang Li , Rod H. Self

The use of small and remotely controlled unmanned aerial vehicles (UAVs), or drones, has increased in recent years. This goes in parallel with misuse episodes, with an evident threat to the safety of people or facilities. As a result, the…

计算机视觉与模式识别 · 计算机科学 2021-11-04 Fredrik Svanström , Fernando Alonso-Fernandez , Cristofer Englund

Being motivated by ceiling inspection applications via unmanned aerial vehicles (UAVs) which require close proximity flight to surfaces, a systematic control approach enabling safe and accurate close proximity flight is proposed in this…

Ensuring that robot navigation is safe and socially acceptable is crucial for comfortable human-robot interaction in shared environments. However, existing validation methods often rely on a bird's-eye (allocentric) perspective, which fails…

机器人学 · 计算机科学 2026-03-31 Subham Agrawal , Aftab Akthar , Nils Dengler , Maren Bennewitz

This study addresses the challenge of integrating social norms into robot navigation, which is essential for ensuring that robots operate safely and efficiently in human-centric environments. Social norms, often unspoken and implicitly…

机器人学 · 计算机科学 2024-10-14 Junwoo Jang , Maani Ghaffari