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Human-to-Robot handovers are useful for many Human-Robot Interaction scenarios. It is important to recognize when a human intends to initiate handovers, so that the robot does not try to take objects from humans when a handover is not…

计算机视觉与模式识别 · 计算机科学 2021-01-01 Jun Kwan , Chinkye Tan , Akansel Cosgun

Teleoperation provides a way for human operators to guide robots in situations where full autonomy is challenging or where direct human intervention is required. It can also be an important tool to teach robots in order to achieve…

机器人学 · 计算机科学 2021-11-15 Florian Kennel-Maushart , Roi Poranne , Stelian Coros

Humans are able to seamlessly visually imitate others, by inferring their intentions and using past experience to achieve the same end goal. In other words, we can parse complex semantic knowledge from raw video and efficiently translate…

机器学习 · 计算机科学 2020-11-12 Sudeep Dasari , Abhinav Gupta

Human-robot object handovers have been an actively studied area of robotics over the past decade; however, very few techniques and systems have addressed the challenge of handing over diverse objects with arbitrary appearance, size, shape,…

机器人学 · 计算机科学 2021-06-07 Wei Yang , Chris Paxton , Arsalan Mousavian , Yu-Wei Chao , Maya Cakmak , Dieter Fox

Learning from demonstrations enables experts to teach robots complex tasks using interfaces such as kinesthetic teaching, joystick control, and sim-to-real transfer. However, these interfaces often constrain the expert's ability to…

机器人学 · 计算机科学 2026-05-12 Xinhu Li , Ayush Jain , Zhaojing Yang , Yigit Korkmaz , Erdem Bıyık

A major challenge for the realization of intelligent robots is to supply them with cognitive abilities in order to allow ordinary users to program them easily and intuitively. One way of such programming is teaching work tasks by…

人机交互 · 计算机科学 2016-11-17 P. C. McGuire , J. Fritsch , J. J. Steil , F. Roethling , G. A. Fink , S. Wachsmuth , G. Sagerer , H. Ritter

Embodiment has recently enjoyed renewed consideration as a means to amplify the faculties of smart machines. Proponents of embodiment seem to imply that optimizing for movement in physical space promotes something more than the acquisition…

人工智能 · 计算机科学 2023-07-18 Shawn L. Beaulieu , Sam Kriegman

Soft growing robots are proposed for use in applications such as complex manipulation tasks or navigation in disaster scenarios. Safe interaction and ease of production promote the usage of this technology, but soft robots can be…

机器人学 · 计算机科学 2019-10-30 Fabio Stroppa , Ming Luo , Kyle Yoshida , Margaret M. Coad , Laura H. Blumenschein , Allison M. Okamura

Virtual reality has proved to be useful in applications in several fields ranging from gaming, medicine, and training to development of interfaces that enable human-robot collaboration. It empowers designers to explore applications outside…

人机交互 · 计算机科学 2023-07-24 Debasmita Mukherjee , Ritwik Singhai , Homayoun Najjaran

We present a volumetric communication system that is designed for remote assistance of procedural tasks. The system allows a remote expert to visually guide a local operator. The two parties share a view that is spatially identical, but for…

Whenever we are addressing a specific object or refer to a certain spatial location, we are using referential or deictic gestures usually accompanied by some verbal description. Especially pointing gestures are necessary to dissolve…

计算机视觉与模式识别 · 计算机科学 2019-12-16 Doreen Jirak , David Biertimpel , Matthias Kerzel , Stefan Wermter

Human drone interaction in autonomous navigation incorporates spatial interaction tasks, including reconstructed 3D map from the drone and human desired target position. Augmented Reality (AR) devices can be powerful interactive tools for…

人机交互 · 计算机科学 2020-08-06 Chuhao Liu , Shaojie Shen

In the field of Geriatronics, enabling effective and transparent communication between humans and robots is crucial for enhancing the acceptance and performance of assistive robots. Our early-stage research project investigates the…

Real-time collaboration with humans poses challenges due to the different behavior patterns of humans resulting from diverse physical constraints. Existing works typically focus on learning safety constraints for collaboration, or how to…

机器人学 · 计算机科学 2024-03-06 Shibei Zhu , Tran Nguyen Le , Samuel Kaski , Ville Kyrki

To enable general-purpose robots, we will require the robot to operate daily articulated objects as humans do. Current robot manipulation has heavily relied on using a parallel gripper, which restricts the robot to a limited set of objects.…

机器人学 · 计算机科学 2023-05-11 Chen Bao , Helin Xu , Yuzhe Qin , Xiaolong Wang

Efficient motion intent communication is necessary for safe and collaborative work environments with collocated humans and robots. Humans efficiently communicate their motion intent to other humans through gestures, gaze, and social cues.…

We present an augmented reality human-swarm interface that combines two modalities of interaction: environment-oriented and robot-oriented. The environment-oriented modality allows the user to modify the environment (either virtual or…

机器人学 · 计算机科学 2019-01-25 Jayam Patel , Yicong Xu , Carlo Pinciroli

Most existing 6-DoF robot grasping solutions depend on strong supervision on grasp pose to ensure satisfactory performance, which could be laborious and impractical when the robot works in some restricted area. To this end, we propose a…

机器人学 · 计算机科学 2024-04-05 Xiwen Dengxiong , Xueting Wang , Shi Bai , Yunbo Zhang

Animals use limbs for both locomotion and manipulation. We aim to equip quadruped robots with similar versatility. This work introduces a system that enables quadruped robots to interact with objects using their legs, inspired by…

机器人学 · 计算机科学 2024-10-25 Xialin He , Chengjing Yuan , Wenxuan Zhou , Ruihan Yang , David Held , Xiaolong Wang

As augmented reality technology and hardware become more mature and affordable, researchers have been exploring more intuitive and discoverable interaction techniques for immersive environments. In this paper, we investigate multimodal…

人机交互 · 计算机科学 2022-12-02 Xiaoyan Zhou , Adam S. Williams , Francisco R. Ortega