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Related papers: Towards Intuitive Human-Robot Interaction through …

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To foster an immersive and natural human-robot interaction, the implementation of tactile perception and feedback becomes imperative, effectively bridging the conventional sensory gap. In this paper, we propose a dual-modal electronic skin…

Robotics · Computer Science 2024-02-09 Shilong Mu , Runze Zhao , Zenan Lin , Yan Huang , Shoujie Li , Chenchang Li , Xiao-Ping Zhang , Wenbo Ding

Physical interactive robotics, ranging from wearable devices to collaborative humanoid robots, require close coordination between mechanical design and control. However, evaluating interactive dynamics is challenging due to complex human…

Robotics · Computer Science 2026-03-11 Chenhui Zuo , Jinhao Xu , Michael Qian Vergnolle , Yanan Sui

Advances in robotics have been driving the development of human-robot interaction (HRI) technologies. However, accurately perceiving human actions and achieving adaptive control remains a challenge in facilitating seamless coordination…

Robotics · Computer Science 2025-07-10 Mingqi Yuan , Huijiang Wang , Kai-Fung Chu , Fumiya Iida , Bo Li , Wenjun Zeng

As robots get more integrated into human environments, fostering trustworthiness in embodied robotic agents becomes paramount for an effective and safe human-robot interaction (HRI). To achieve that, HRI applications must promote human…

Robotics · Computer Science 2025-09-23 Carlo Mazzola , Hassan Ali , Kristína Malinovská , Igor Farkaš

As intelligent robots become more integrated into human environments, there is a growing need for intuitive and reliable Human-Robot Interaction (HRI) interfaces that are adaptable and more natural to interact with. Traditional robot…

This article presents a method for learning well-coordinated Human-Robot Interaction (HRI) from Human-Human Interactions (HHI). We devise a hybrid approach using Hidden Markov Models (HMMs) as the latent space priors for a Variational…

With the advancements in human-robot interaction (HRI), robots are now capable of operating in close proximity and engaging in physical interactions with humans (pHRI). Likewise, contact-based pHRI is becoming increasingly common as robots…

Robotics · Computer Science 2024-07-31 Mohammad Farajtabar , Marie Charbonneau

Human-Robot Interfaces (HRIs) represent a crucial component in telerobotic systems. Body-Machine Interfaces (BoMIs) based on body motion can feel more intuitive than standard HRIs for naive users as they leverage humans' natural control…

Robotics · Computer Science 2020-11-17 Matteo Macchini , Jan Frogg , Fabrizio Schiano , Dario Floreano

To facilitate natural and intuitive interactions with diverse user groups in real-world settings, social robots must be capable of addressing the varying requirements and expectations of these groups while adapting their behavior based on…

Gestures are a natural form of communication between humans and can also be leveraged for human-robot interaction. This work presents a gesture-based user interface for object selection using pointing and click gestures. An experiment with…

Robotics · Computer Science 2026-04-08 Bijan Kavousian , Oliver Petrovic , Werner Herfs

Tactile skins made from textiles enhance robot-human interaction by localizing contact points and measuring contact forces. This paper presents a solution for rapidly fabricating, calibrating, and deploying these skins on industrial robot…

Robotics · Computer Science 2023-08-08 Bo Ying Su , Zhongqi Wei , James McCann , Wenzhen Yuan , Changliu Liu

Human-machine interaction (HMI) and human-robot interaction (HRI) can assist structural monitoring and structural dynamics testing in the laboratory and field. In vibratory experimentation, one mode of generating vibration is to use…

Robotics · Computer Science 2023-03-24 Elijah Wyckoff , Ronan Reza , Fernando Moreu

In recent years robots have become an important part of our day-to-day lives with various applications. Human-robot interaction creates a positive impact in the field of robotics to interact and communicate with the robots. Gesture…

Robotics · Computer Science 2024-09-11 Sajjad Hussain , Khizer Saeed , Almas Baimagambetov , Shanay Rab , Md Saad

Human emotions are expressed through multiple modalities, including verbal and non-verbal information. Moreover, the affective states of human users can be the indicator for the level of engagement and successful interaction, suitable for…

Robotics · Computer Science 2021-10-12 Baijun Xie , Chung Hyuk Park

Translating human intent into robot commands is crucial for the future of service robots in an aging society. Existing Human-Robot Interaction (HRI) systems relying on gestures or verbal commands are impractical for the elderly due to…

Object properties perceived through the tactile sense, such as weight, friction, and slip, greatly influence motor control during manipulation tasks. However, the provision of tactile information during robotic training in…

The tactile sensing capabilities of human hands are essential in performing daily activities. Simultaneously perceiving normal and shear forces via the mechanoreceptors integrated into the hands enables humans to achieve daily tasks like…

Robotics · Computer Science 2022-06-20 Zeyu Lu , Xingyu Gao , Haoyong Yu

Collocated tactile sensing is a fundamental enabling technology for dexterous manipulation. However, deformable sensors introduce complex dynamics between the robot, grasped object, and environment that must be considered for fine…

Robotics · Computer Science 2022-09-28 Miquel Oller , Mireia Planas , Dmitry Berenson , Nima Fazeli

Several technological solutions supported the creation of interfaces for Augmented Reality (AR) multi-user collaboration in the last years. However, these technologies require the use of wearable devices. We present CobotAR - a new AR…

Physical human-robot interaction (pHRI) remains a key challenge for achieving intuitive and safe interaction with robots. Current advancements often rely on external tactile sensors as interface, which increase the complexity of robotic…

Robotics · Computer Science 2026-05-27 Teresa Sinico , Giovanni Boschetti , Pedro Neto