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In order to be effective teammates, robots need to be able to understand high-level human behavior to recognize, anticipate, and adapt to human motion. We have designed a new approach to enable robots to perceive human group motion in…

Robotics · Computer Science 2016-11-15 Tariq Iqbal , Samantha Rack , Laurel D. Riek

With the advent of inexpensive simple humanoid robots, new classes of robotic questions can be considered experimentally. One of these is collective behavior of groups of humanoid robots, and in particular robot synchronization and…

Adaptation and Self-Organizing Systems · Physics 2013-05-28 Patrick Bechon , Jean-Jacques Slotine

Imitation learning has been actively studied in recent years. In particular, skill acquisition by a robot with a fixed body, whose root link position and posture and camera angle of view do not change, has been realized in many cases. On…

Robotics · Computer Science 2023-12-19 Yutaro Matsuura , Kento Kawaharazuka , Naoki Hiraoka , Kunio Kojima , Kei Okada , Masayuki Inaba

Human pose estimation involves detecting and tracking the positions of various body parts using input data from sources such as images, videos, or motion and inertial sensors. This paper presents a novel approach to human pose estimation…

Social robot navigation is an evolving research field that aims to find efficient strategies to safely navigate dynamic environments populated by humans. A critical challenge in this domain is the accurate modeling of human motion, which…

Human-Computer Interaction · Computer Science 2025-07-01 Tommaso Van Der Meer , Andrea Garulli , Antonio Giannitrapani , Renato Quartullo

Human-guided robotic exploration is a useful approach to gathering information at remote locations, especially those that might be too risky, inhospitable, or inaccessible for humans. Maintaining common ground between the remotely-located…

Human-Computer Interaction · Computer Science 2023-10-27 Stephanie M. Lukin , Kimberly A. Pollard , Claire Bonial , Taylor Hudson , Ron Arstein , Clare Voss , David Traum

Understanding action correspondence between humans and robots is essential for evaluating alignment in decision-making, particularly in human-robot collaboration and imitation learning within unstructured environments. We propose a…

Robotics · Computer Science 2025-04-17 Azizul Zahid , Jie Fan , Farong Wang , Ashton Dy , Sai Swaminathan , Fei Liu

We humans are biased - and our robotic creations are biased, too. Bias is a natural phenomenon that drives our perceptions and behavior, including when it comes to socially expressive robots that have humanlike features. Recognizing that we…

Robotics · Computer Science 2024-12-18 Katie Seaborn

In this paper, we investigate the roles that social robots can take in physical exercise with human partners. In related work, robots or virtual intelligent agents take the role of a coach or instructor whereas in other approaches they are…

Human-Robot Interaction (HRI) has become increasingly important as robots are being integrated into various aspects of daily life. One key aspect of HRI is gesture recognition, which allows robots to interpret and respond to human gestures…

Human-Computer Interaction · Computer Science 2024-01-10 Sandeep Reddy Sabbella , Sara Kaszuba , Francesco Leotta , Pascal Serrarens , Daniele Nardi

Human-robot teaming (HRT) systems often rely on large-scale datasets of human and robot interactions, especially for close-proximity collaboration tasks such as human-robot handovers. Learning robot manipulation policies from raw,…

Robotics · Computer Science 2025-08-14 Yuekun Wu , Yik Lung Pang , Andrea Cavallaro , Changjae Oh

The integration of manipulator robots in household environments suggests a need for more predictable and human-like robot motion. This holds especially true for wheelchair-mounted assistive robots that can support the independence of people…

Robotics · Computer Science 2023-09-15 Jayjun Lee , Adam J. Spiers

We consider the problem of estimating human pose and trajectory by an aerial robot with a monocular camera in near real time. We present a preliminary solution whose distinguishing feature is a dynamic classifier selection architecture. In…

Computer Vision and Pattern Recognition · Computer Science 2018-12-18 Asanka G Perera , Yee Wei Law , Javaan Chahl

This paper presents an attempt to replicate the robot imitation work conducted by Sermanet et al., with a specific focus on the experiments involving robot joint position prediction. While the original study utilized human poses to predict…

Robotics · Computer Science 2023-10-17 Venkat Surya Teja Chereddy

Human gesture recognition has assumed a capital role in industrial applications, such as Human-Machine Interaction. We propose an approach for segmentation and classification of dynamic gestures based on a set of handcrafted features, which…

Computer Vision and Pattern Recognition · Computer Science 2020-08-27 André Brás , Miguel Simão , Pedro Neto

The focus of this paper is dynamic gesture recognition in the context of the interaction between humans and machines. We propose a model consisting of two sub-networks, a transformer and an ordered-neuron long-short-term-memory (ON-LSTM)…

Computer Vision and Pattern Recognition · Computer Science 2023-11-03 Kenneth Lai , Svetlana Yanushkevich

In this paper, we propose a simple methodology to detect the partial pose of a human occupying the manipulator work-space using only on-robot time--of--flight laser ranging sensors. The sensors are affixed on each link of the robot in a…

Robotics · Computer Science 2019-09-24 Sarthak Arora , Shitij Kumar , Ferat Sahin

Research currently being conducted on the use of robots as human labor support technology. In particular, the service industry needs to allocate more manpower, and it will be important for robots to support people. This study focuses on…

The integration of humanoid and animal-shaped robots into specialized domains, such as healthcare, multi-terrain operations, and psychotherapy, necessitates a deep understanding of proxemics--the study of spatial behavior that governs…

Human-Computer Interaction · Computer Science 2025-10-03 Xiangmin Xu , Zhen Meng , Emma Li , Mohamed Khamis , Philip G. Zhao , Robin Bretin

When we go for a walk with friends, we can observe an interesting effect: From step lengths to arm movements - our movements unconsciously align; they synchronize. Prior research found that this synchronization is a crucial aspect of human…

Human-Computer Interaction · Computer Science 2023-05-01 Wieslaw Bartkowski , Andrzej Nowak , Filip Ignacy Czajkowski , Albrecht Schmidt , Florian Müller
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