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As robots increasingly coexist with humans, they must navigate complex, dynamic environments rich in visual information and implicit social dynamics, like when to yield or move through crowds. Addressing these challenges requires…

Robotics · Computer Science 2024-11-27 Georgina Nuthall , Richard Bowden , Oscar Mendez

Socially Assistive Robots represent a valid solution for improving the quality of life and the mood of older adults. In this context, this work presents the CloudIA robot, a non-human-like robot intended to promote sociality and well-being…

Robotics · Computer Science 2023-12-12 Alessandra Sorrentino , Laura Fiorini , Carlo La Viola , Filippo Cavallo

Training robust bimanual manipulation policies via imitation learning requires demonstration data with broad coverage over robot poses, contacts, and scene contexts. However, collecting diverse and precise real-world demonstrations is…

Robotics · Computer Science 2026-04-06 Jason Chen , I-Chun Arthur Liu , Gaurav Sukhatme , Daniel Seita

Simulating deformable objects under rich interactions remains a fundamental challenge for real-to-sim robot manipulation, with dynamics jointly driven by environmental effects and robot actions. Existing simulators rely on predefined…

Robotics · Computer Science 2026-02-03 Mu Huang , Hui Wang , Kerui Ren , Linning Xu , Yunsong Zhou , Mulin Yu , Bo Dai , Jiangmiao Pang

Spatial computing -- the ability of devices to be aware of their surroundings and to represent this digitally -- offers novel capabilities in human-robot interaction. In particular, the combination of spatial computing and egocentric…

Musicians delicately control their bodies to generate music. Sometimes, their motions are too subtle to be captured by the human eye. To analyze how they move to produce the music, we need to estimate precise 4D human pose (3D pose over…

Computer Vision and Pattern Recognition · Computer Science 2024-11-27 Seong Jong Yoo , Snehesh Shrestha , Irina Muresanu , Cornelia Fermüller

The integration of the physical capabilities of an industrial collaborative robot with a social virtual character may represent a viable solution to enhance the workers' perception of the system as an embodied social entity and increase…

Robot-assisted therapy is an emerging form of therapy for autistic children, although designing effective robot behaviors is a challenge for effective implementation of such therapy. A series of usability tests assessed trends in the…

As robotic technology advances, the barriers to the coexistence of humans and robots are slowly coming down. Application domains like elderly care, collaborative manufacturing, collaborative manipulation, etc., are considered the need of…

Robotics · Computer Science 2020-04-24 Yeshasvi Tirupachuri

A seamless integration of robots into human environments requires robots to learn how to use existing human tools. Current approaches for learning tool manipulation skills mostly rely on expert demonstrations provided in the target robot…

Robotics · Computer Science 2021-11-08 Kateryna Zorina , Justin Carpentier , Josef Sivic , Vladimír Petrík

Spatial audio is crucial for immersive 360-degree video experiences, yet most 360-degree videos lack it due to the difficulty of capturing spatial audio during recording. Automatically generating spatial audio such as first-order ambisonics…

Sound · Computer Science 2026-04-13 Ziyu Luo , Lin Chen , Qiang Qu , Xiaoming Chen , Yiran Shen

Spatial audio is crucial for immersive 360-degree video experiences, yet most 360-degree videos lack it due to the difficulty of capturing spatial audio during recording. Automatically generating spatial audio such as first-order ambisonics…

Sound · Computer Science 2026-05-05 Ziyu Luo , Lin Chen , Qiang Qu , Xiaoming Chen , Yiran Shen

Endowed with higher levels of autonomy, robots are required to perform increasingly complex manipulation tasks. Learning from demonstration is arising as a promising paradigm for transferring skills to robots. It allows to implicitly learn…

Robotics · Computer Science 2023-02-24 Miguel Arduengo , Adrià Colomé , Joan Lobo-Prat , Luis Sentis , Carme Torras

The increase in available computing power and the Deep Learning revolution have allowed the exploration of new topics and frontiers in Artificial Intelligence research. A new field called Embodied Artificial Intelligence, which places at…

Robotics · Computer Science 2025-05-05 Roberto Bigazzi

The Ephemeral Shadow is an interactive art installation centered on the concept of "simulacrum," focusing on the reconstruction of subjectivity at the intersection of reality and virtuality. Drawing inspiration from the aesthetic imagery of…

Human-Computer Interaction · Computer Science 2025-04-22 Dong Zhang , Yanjun Zhou , Jingyi Yu

This paper studies the problem of predicting future trajectories of people in unseen cameras of novel scenarios and views. We approach this problem through the real-data-free setting in which the model is trained only on 3D simulation data…

Computer Vision and Pattern Recognition · Computer Science 2020-07-21 Junwei Liang , Lu Jiang , Alexander Hauptmann

The capacity to create realistic virtual humans has progressed significantly, and such characters can be found in many applications across entertainment, education and health. As an essential element of interactive virtual humans,…

Graphics · Computer Science 2026-05-12 Haoyang Du , Yinghan Xu , John Dingliana , Brian Keegan , Rachel McDonnell , Cathy Ennis

Since 2014, we have been conducting experiments based on a multidisciplinary collaboration between specialists in theatrical staging and researchers in virtual reality, digital art, and video games. This team focused its work on the…

Human-Computer Interaction · Computer Science 2024-07-18 Georges Gagneré , Cédric Plessiet , Rémy Sohier

Social robots are required not only to understand human intentions but also to effectively communicate their intentions or own internal states to users. This study explores the use of sonification to provide explicit auditory feedback,…

Robotics · Computer Science 2024-11-15 Simone Arreghini , Antonio Paolillo , Gabriele Abbate , Alessandro Giusti

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…

Machine Learning · Computer Science 2020-11-12 Sudeep Dasari , Abhinav Gupta