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Robot teleoperation enables human control over robotic systems in environments where full autonomy is challenging. Recent advancements in low-cost teleoperation devices and VR/AR technologies have expanded accessibility, particularly for…

Robotics · Computer Science 2025-05-01 Adam Imdieke , Karthik Desingh

Mobile manipulators can be used for machine tending and material handling tasks in small volume manufacturing applications. These applications usually have semi-structured work environment. The use of a fully autonomous mobile manipulator…

We present an assistance system that reasons about a human's intended actions during robot teleoperation in order to provide appropriate corrections for unintended behavior. We model the human's physical interaction with a control interface…

Robotics · Computer Science 2020-11-09 Deepak Gopinath , Mahdieh Nejati Javaremi , Brenna D. Argall

This study proposes an approach to human-to-humanoid teleoperation using GAN-based online motion retargeting, which obviates the need for the construction of pairwise datasets to identify the relationship between the human and the humanoid…

Robotics · Computer Science 2024-06-04 Satoshi Yagi , Mitsunori Tada , Eiji Uchibe , Suguru Kanoga , Takamitsu Matsubara , Jun Morimoto

Cross-user electromyography (EMG)-based gesture recognition represents a fundamental challenge in achieving scalable and personalized human-machine interaction within real-world applications. Despite extensive efforts, existing…

Human-Computer Interaction · Computer Science 2025-10-15 Nana Wang , Suli Wang , Gen Li , Zhaoxin Fan

Teleoperation provides an effective way to collect robot data, which is crucial for learning from demonstrations. In this field, teleoperation faces several key challenges: user-friendliness for new users, safety assurance, and…

Robotics · Computer Science 2025-04-22 Jingxiang Guo , Jiayu Luo , Zhenyu Wei , Yiwen Hou , Zhixuan Xu , Xiaoyi Lin , Chongkai Gao , Lin Shao

In this paper, we present a multimodal mobile teleoperation system that consists of a novel vision-based hand pose regression network (Transteleop) and an IMU-based arm tracking method. Transteleop observes the human hand through a low-cost…

With the continuous advancement of robot teleoperation technology, shared control is used to reduce the physical and mental load of the operator in teleoperation system. This paper proposes an alternating shared control framework for object…

Robotics · Computer Science 2023-08-01 Qibin Chen , Yaonan Zhu , Kay Hansel , Tadayoshi Aoyama , Yasuhisa Hasegawa

The swiftly expanding retail sector is increasingly adopting autonomous mobile robots empowered by artificial intelligence and machine learning algorithms to gain an edge in the competitive market. However, these autonomous robots encounter…

Shared control in teleoperation for providing robot assistance to accomplish object manipulation, called telemanipulation, is a new promising yet challenging problem. This has unique challenges--on top of teleoperation challenges in…

Robotics · Computer Science 2025-04-02 Michael Bowman , Jiucai Zhang , Xiaoli Zhang

To exploit the compliant capabilities of soft robot arms we require controller which can exploit their physical capabilities. Teleoperation, leveraging a human in the loop, is a key step towards achieving more complex control strategies.…

Robotics · Computer Science 2025-03-24 Qinghua Guan , Hung Hon Cheng , Benhui Dai , Josie Hughes

Employing a teleoperation system for gathering demonstrations offers the potential for more efficient learning of robot manipulation. However, teleoperating a robot arm equipped with a dexterous hand or gripper, via a teleoperation system…

Haptic feedback is essential for humans to successfully perform complex and delicate manipulation tasks. A recent rise in tactile sensors has enabled robots to leverage the sense of touch and expand their capability drastically. However,…

Robotics · Computer Science 2024-03-26 Martina Lippi , Michael C. Welle , Maciej K. Wozniak , Andrea Gasparri , Danica Kragic

Teleoperation of beyond-human-scale robotic manipulators (BHSRMs) presents unique challenges that differ fundamentally from conventional human-scale systems. As these platforms gain relevance in industrial domains such as construction,…

Robotics · Computer Science 2025-08-14 Mahdi Hejrati , Jouni Mattila

Bilateral teleoperation provides humanoid robots with human planning intelligence while enabling the human to feel what the robot feels. It has the potential to transform physically capable humanoid robots into dynamically intelligent ones.…

Robotics · Computer Science 2021-09-10 Sunyu Wang , Joao Ramos

[...] With the TelePhysicalOperation interface, the user can teleoperate the different capabilities of a robot (e.g., single/double arm manipulation, wheel/leg locomotion) by applying virtual forces on selected robot body parts. This…

Robotics · Computer Science 2025-05-13 Davide Torielli

Humanoid robot teleoperation allows humans to integrate their cognitive capabilities with the apparatus to perform tasks that need high strength, manoeuvrability and dexterity. This paper presents a framework for teleoperation of humanoid…

Efficient and intuitive Human-Robot interfaces are crucial for expanding the user base of operators and enabling new applications in critical areas such as precision agriculture, automated construction, rehabilitation, and environmental…

Robotics · Computer Science 2023-04-05 Paulo Padrao , Jose Fuentes , Tero Kaarlela , Alfredo Bayuelo , Leonardo Bobadilla

Intuitive Teleoperation interfaces are essential for mobile manipulation robots to ensure high quality data collection while reducing operator workload. A strong sense of embodiment combined with minimal physical and cognitive demands not…

Electromyography (EMG) signal analysis is a popular method for controlling prosthetic and gesture control equipment. For portable systems, such as prosthetic limbs, real-time low-power operation on embedded processors is critical, but to…

Signal Processing · Electrical Eng. & Systems 2019-05-10 Sumit Raurale , John McAllister , Jesus Martinez del Rincon