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| 2. |
- Benson, Erik, et al.
(author)
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Reconfigurable self-assembled DNA devices
- 2023
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In: SCIENCE ROBOTICS. - : American Association for the Advancement of Science (AAAS). - 2470-9476. ; 8:77
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Journal article (other academic/artistic)
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| 3. |
- Bossi, Francesco, et al.
(author)
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The human brain reveals resting state activity patterns that are predictive of biases in attitudes toward robots
- 2020
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In: Science Robotics. - : American Association for the Advancement of Science (AAAS). - 2470-9476. ; 5:46
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Journal article (peer-reviewed)abstract
- The increasing presence of robots in society necessitates a deeper understanding into what attitudes people have toward robots. People may treat robots as mechanistic artifacts or may consider them to be intentional agents. This might result in explaining robots’ behavior as stemming from operations of the mind (intentional interpretation) or as a result of mechanistic design (mechanistic interpretation). Here, we examined whether individual attitudes toward robots can be differentiated on the basis of default neural activity pattern during resting state, measured with electroencephalogram (EEG). Participants observed scenarios in which a humanoid robot was depicted performing various actions embedded in daily contexts. Before they were introduced to the task, we measured their resting state EEG activity. We found that resting state EEG beta activity differentiated people who were later inclined toward interpreting robot behaviors as either mechanistic or intentional. This pattern is similar to the pattern of activity in the default mode network, which was previously demonstrated to have a social role. In addition, gamma activity observed when participants were making decisions about a robot’s behavior indicates a relationship between theory of mind and said attitudes. Thus, we provide evidence that individual biases toward treating robots as either intentional agents or mechanistic artifacts can be detected at the neural level, already in a resting state EEG signal.
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| 4. |
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| 5. |
- Hang, Kaiyu, et al.
(author)
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Perching and resting : A paradigm for UAV maneuvering with modularized landing gears
- 2019
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In: Science Robotics. - : American Association for the Advancement of Science. - 2470-9476. ; 4:28
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Journal article (peer-reviewed)abstract
- Perching helps small unmanned aerial vehicles (UAVs) extend their time of operation by saving battery power. However, most strategies for UAV perching require complex maneuvering and rely on specific structures, such as rough walls for attaching or tree branches for grasping. Many strategies to perching neglect the UAV’s mission such that saving battery power interrupts the mission. We suggest enabling UAVs with the capability of making and stabilizing contacts with the environment, which will allow the UAV to consume less energy while retaining its altitude, in addition to the perching capability that has been proposed before. This new capability is termed “resting.” For this, we propose a modularized and actuated landing gear framework that allows stabilizing the UAV on a wide range of different structures by perching and resting. Modularization allows our framework to adapt to specific structures for resting through rapid prototyping with additive manufacturing. Actuation allows switching between different modes of perching and resting during flight and additionally enables perching by grasping. Our results show that this framework can be used to perform UAV perching and resting on a set of common structures, such as street lights and edges or corners of buildings. We show that the design is effective in reducing power consumption, promotes increased pose stability, and preserves large vision ranges while perching or resting at heights. In addition, we discuss the potential applications facilitated by our design, as well as the potential issues to be addressed for deployment in practice.
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| 7. |
- Kragic, Danica, 1971-
(author)
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From active perception to deep learning
- 2018
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In: SCIENCE ROBOTICS. - : AMER ASSOC ADVANCEMENT SCIENCE. - 2470-9476. ; 3:23
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Journal article (other academic/artistic)abstract
- Computer vision diverged from robotics and has focused on contests and data sets; reconnecting the two could solve real-world problems.
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| 8. |
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| 9. |
- Ortiz Catalan, Max Jair, 1982, et al.
(author)
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A highly integrated bionic hand with neural control and feedback for use in daily life
- 2023
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In: Science Robotics. - 2470-9476. ; 8:83
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Journal article (peer-reviewed)abstract
- Restoration of sensorimotor function after amputation has remained challenging because of the lack of human-machine interfaces that provide reliable control, feedback, and attachment. Here, we present the clinical implementation of a transradial neuromusculoskeletal prosthesis-a bionic hand connected directly to the user's nervous and skeletal systems. In one person with unilateral below-elbow amputation, titanium implants were placed intramedullary in the radius and ulna bones, and electromuscular constructs were created surgically by transferring the severed nerves to free muscle grafts. The native muscles, free muscle grafts, and ulnar nerve were implanted with electrodes. Percutaneous extensions from the titanium implants provided direct skeletal attachment and bidirectional communication between the implanted electrodes and a prosthetic hand. Operation of the bionic hand in daily life resulted in improved prosthetic function, reduced postamputation, and increased quality of life. Sensations elicited via direct neural stimulation were consistently perceived on the phantom hand throughout the study. To date, the patient continues using the prosthesis in daily life. The functionality of conventional artificial limbs is hindered by discomfort and limited and unreliable control. Neuromusculoskeletal interfaces can overcome these hurdles and provide the means for the everyday use of a prosthesis with reliable neural control fixated into the skeleton.
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