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Palpation of human tissue during Minimally Invasive Surgery is hampered due to restricted access. In this extended abstract, we present a variable stiffness and dynamic force range sensor that has the potential to address this challenge.…

Medical Physics · Physics 2024-12-16 Abu Bakar Dawood , Zhenyu Zhang , Martin Angelmahr , Alberto Arezzo , Kaspar Althoefer

Cutting soft materials is a complex process governed by the interplay of bulk large deformation, interfacial soft fracture, and contact forces with the cutting tool. Existing experimental characterizations and numerical models often fail to…

Soft Condensed Matter · Physics 2026-01-08 Miguel Angel Moreno-Mateos , Paul Steinmann

Deformable object manipulation is a classical and challenging research area in robotics. Compared with rigid object manipulation, this problem is more complex due to the deformation properties including elastic, plastic, and elastoplastic…

The rheological parameters of materials are determined in the industry according to international standards established generally on the basis of widespread techniques and robust methods of estimation. Concerning solid polymers and the…

Classical Physics · Physics 2012-06-20 A. Blaise , Stéphane André , Patrick Delobelle , Yves Meshaka , C. Cunat

We present a novel application of our high-resolution capacitance dilatometer, specifically engineered for the precise characterization of quantum materials. These materials, which often appear as ultrathin, platelet-shaped crystals, are…

Materials Science · Physics 2026-02-18 R. Küchler , S. Panja , S. Wirth , P. Gegenwart

Adhesion control at the interface of two surfaces is crucial in many applications. Examples are the design of micro and nanodevices such as microfuidics devices, biochips, and electronic sensors. Adhesion at the interface of two materials…

Soft Condensed Matter · Physics 2024-12-11 Susheel Kumar , Chiranjit Majhi , Krishnacharya Khare , Manjesh Kumar Singh

Incorporating effective tactile sensing and mechanical compliance is key towards enabling robust and safe operation of robots in unknown, uncertain and cluttered environments. Towards realizing this goal, we present a lightweight,…

Robotics · Computer Science 2019-04-05 Alex Alspach , Kunimatsu Hashimoto , Naveen Kuppuswamy , Russ Tedrake

Recent advancements in soft robots, human-machine interfaces, and wearable electronics have led to an increased demand for high-performance soft tactile sensors. Tomographic tactile sensor based on resistive coupling is a novel contact…

Human-Computer Interaction · Computer Science 2024-06-04 Shunsuke Yoshimoto , Koji Sakamoto , Rina Takeda , Akio Yamamoto

Soft robotic systems offer benefits over traditional rigid systems through reduced contact trauma with soft tissues and by enabling access through tortuous paths in minimally invasive surgery. However, the inherent deformability of soft…

Robotics · Computer Science 2020-05-04 James Avery , Mark Runciman , Ara Darzi , George P. Mylonas

Wearable electronics are emerging as essential tools for health monitoring, haptic feedback, and human-computer interactions. While stable contact at the device-body interface is critical for these applications, it remains challenging due…

Measuring the blood pressure waveform is becoming a more frequently studied area. The development of sensor technologies opens many new ways to be able to measure high-quality signals. The development of such an aim-specific sensor can be…

Medical Physics · Physics 2025-06-06 Attila Répai , Sándor Földi , Péter Sótonyi , György Cserey

Soft robotic instruments could navigate delicate, tortuous anatomy more safely than rigid tools, but clinical adoption is limited by insufficient tip functionalization and real-time feedback at the tissue interface. Few sensing and…

Soft robots are intrinsically capable of adapting to different environments by changing their shape in response to interaction forces with the environment. However, sensing and feedback are still required for higher level decisions and…

Soft Condensed Matter · Physics 2023-10-18 Shibo Zou , Sergio Picella , Jelle de Vries , Vera Kortman , Aimée Sakes , Johannes T. B. Overvelde

We discuss the design and operation of a confocal rheometer, formed by integrating an Anton Paar MCR301 stress-controlled rheometer with a Leica SP5 laser scanning confocal microscope. Combining two commercial instruments results in a…

Soft Condensed Matter · Physics 2015-06-16 S. K. Dutta , A. Mbi , Richard C. Arevalo , Daniel L. Blair

This paper presents the design, control, and applications of a multi-segment soft robotic arm. In order to design a soft arm with large load capacity, several design principles are proposed by analyzing two kinds of buckling issues, under…

Robotics · Computer Science 2020-07-09 Hao Jiang , Zhanchi Wang , Yusong Jin , Xiaotong Chen , Peijin Li , Yinghao Gan , Sen Lin , Xiaoping Chen

The research aims to expand tactile feedback beyond vibrations to various modes of stimuli, such as indentation, vibration, among others. By incorporating soft material into the design of a novel tactile actuator, we can achieve…

Human-Computer Interaction · Computer Science 2024-11-11 Heeju Mun , Seunggyeom Jung , Seung Mo Jeong , David Santiago Diaz Cortes , Ki-Uk Kyung

A mechanistic understanding of adhesion in soft materials is critical in the fields of transportation (tires, gaskets, seals), biomaterials, micro-contact printing, and soft robotics. Measurements have long demonstrated that the apparent…

Microfluidic devices are increasingly used in biological and chemical experiments due to their cost-effectiveness for rheological estimation in fluids. However, these devices often face challenges in terms of accuracy, size, and cost. This…

Vision-based tactile sensors (VBTSs) are a promising technology for robots, providing them with dense signals that can be translated into a multi-faceted understanding of contact. However, existing VBTS tactile surfaces make use of silicone…

Robotics · Computer Science 2026-04-10 Benjamin Davis , Hannah Stuart

In the automated co-design of soft robots, precisely adapting the material stiffness field to task environments is crucial for unlocking their full physical potential. However, mainstream platforms (e.g., EvoGym) strictly discretize the…

Robotics · Computer Science 2026-04-10 Le Shen , Kangyao Huang , Wentao Zhao , Huaping Liu