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As humans, we have a remarkable capacity for reading the characteristics of objects only by observing how another person carries them. Indeed, how we perform our actions naturally embeds information on the item features. Collaborative…

Implicit communication plays such a crucial role during social exchanges that it must be considered for a good experience in human-robot interaction. This work addresses implicit communication associated with the detection of physical…

Humans are very effective at interpreting subtle properties of the partner's movement and use this skill to promote smooth interactions. Therefore, robotic platforms that support human partners in daily activities should acquire similar…

Robots in shared spaces often move in ways that are difficult for people to interpret, placing the burden on humans to adapt. High-DoF robots exhibit motion that people read as expressive, intentionally or not, making it important to…

Robotics · Computer Science 2026-04-07 Jonathan Albert Cohen , Kye Shimizu , Allen Song , Vishnu Bharath , Kent Larson , Pattie Maes

Humans engaged in collaborative activities are naturally able to convey their intentions to teammates through multi-modal communication, which is made up of explicit and implicit cues. Similarly, a more natural form of human-robot…

Robotics · Computer Science 2022-07-01 Simone Macciò , Alessandro Carfì , Fulvio Mastrogiovanni

We focus on human-robot collaborative transport, in which a robot and a user collaboratively move an object to a goal pose. In the absence of explicit communication, this problem is challenging because it demands tight implicit coordination…

Robotics · Computer Science 2025-02-06 Elvin Yang , Christoforos Mavrogiannis

Humans have the fascinating capacity of processing non-verbal visual cues to understand and anticipate the actions of other humans. This "intention reading" ability is underpinned by shared motor-repertoires and action-models, which we use…

When manipulating objects, humans finely adapt their motions to the characteristics of what they are handling. Thus, an attentive observer can foresee hidden properties of the manipulated object, such as its weight, temperature, and even…

Humans leverage multiple sensor modalities when interacting with objects and discovering their intrinsic properties. Using the visual modality alone is insufficient for deriving intuition behind object properties (e.g., which of two boxes…

Robotics · Computer Science 2023-07-07 Gyan Tatiya , Jonathan Francis , Jivko Sinapov

Human interaction involves very sophisticated non-verbal communication skills like understanding the goals and actions of others and coordinating our own actions accordingly. Neuroscience refers to this mechanism as motor resonance, in the…

Robotics · Computer Science 2019-05-13 Nuno Ferreira Duarte , Mirko Raković , José Santos-Victor

To facilitate human-robot interaction and gain human trust, a robot should recognize and adapt to changes in human behavior. This work documents different human behaviors observed while taking objects from an interactive robot in an…

Robotics · Computer Science 2025-01-07 Parag Khanna , Elmira Yadollahi , Iolanda Leite , Mårten Björkman , Christian Smith

Object manipulation is a natural activity we perform every day. How humans handle objects can communicate not only the willfulness of the acting, or key aspects of the context where we operate, but also the properties of the objects…

Tactile sensing is a widely-studied means of implicit communication between robot and human. In this paper, we investigate how tactile sensing can help bridge differences between robotic embodiments in the context of collaborative…

Robotics · Computer Science 2025-09-17 William van den Bogert , Madhavan Iyengar , Nima Fazeli

Collaborative manipulation is inherently multimodal, with haptic communication playing a central role. When performed by humans, it involves back-and-forth force exchanges between the participants through which they resolve possible…

Robotics · Computer Science 2023-08-21 Zhanibek Rysbek , Ki Hwan Oh , Milos Zefran

Performing joint interaction requires constant mutual monitoring of own actions and their effects on the other's behaviour. Such an action-effect monitoring is boosted by social cues and might result in an increasing sense of agency. Joint…

Robotics · Computer Science 2025-09-16 Maria Lombardi , Elisa Maiettini , Vadim Tikhanoff , Lorenzo Natale

Robots are required to autonomously respond to changing situations. Imitation learning is a promising candidate for achieving generalization performance, and extensive results have been demonstrated in object manipulation. However,…

Robotics · Computer Science 2021-01-21 Ayumu Sasagawa , Kazuki Fujimoto , Sho Sakaino , Toshiaki Tsuji

Humans are highly skilled in communicating their intent for when and where a handover would occur. However, even the state-of-the-art robotic implementations for handovers typically lack of such communication skills. This study investigates…

Robots are becoming a vital ingredient in society. Some of their daily tasks require dual-arm manipulation skills in the rapidly changing, dynamic and unpredictable real-world environments where they have to operate. Given the expertise of…

Robotics · Computer Science 2019-04-03 Èric Pairet , Paola Ardón , Frank Broz , Michael Mistry , Yvan Petillot

During a robot to human object handover task, several intended or unintended events may occur with the object - it may be pulled, pushed, bumped or simply held - by the human receiver. We show that it is possible to differentiate between…

Robotics · Computer Science 2019-09-17 Mohammad-Javad Davari , Michael Hegedus , Kamal Gupta , Mehran Mehrandezh

Object manipulation is a basic element in everyday human lives. Robotic manipulation has progressed from maneuvering single-rigid-body objects with firm grasping to maneuvering soft objects and handling contact-rich actions. Meanwhile,…

Robotics · Computer Science 2017-08-18 Leidi Zhao , Raheem Lawhorn , Siddharth Patil , Steve Susanibar , Lu Lu , Cong Wang , Bo Ouyang
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