Here we propose an environmentally robust hybrid (biotic-abiotic) robotic system that uses insect heart cells. Our group has already presented a hybrid actuator using rat heart muscle cells, but it is difficult to keep rat heart muscle cells contracting spontaneously without maintaining the culture conditions carefully. Insect cells, by contrast, are robust over a range of culture conditions (temperature, osmotic pressure and pH) compared to mammalian cells. Therefore, a hybrid robotic system using not mammalian cells but insect cells can be driven without precise environmental control. As a first step toward the realization of this robotic system, the larvae of two lepidopteran species, Bombyx mori (BM) and Thysanoplusia intermixta (TI) were excised and the culture conditions of their dorsal vessel (insect heart) cells were examined. As a result, spontaneously contracting TI cells derived from the dorsal vessel were obtained. The contraction of TI cells started on the 7th day and continued for more than 18 days. Spontaneously contracting BM cells were not obtained in this study. These experimental results suggest the possibility of constructing an environmentally robust hybrid robotic system with living cells in the near future.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.jbiotec.2007.08.042DOI Listing

Publication Analysis

Top Keywords

robotic system
20
cells
13
insect cells
12
environmentally robust
12
robust hybrid
12
hybrid robotic
12
culture conditions
12
cells contracting
8
contracting spontaneously
8
insect heart
8

Similar Publications

Objective: To assess 30- and 90-day postoperative complication rates in patients who underwent robot-assisted radical cystectomy (RARC) after receiving novel immunotherapy-based neoadjuvant treatment.

Methods: A bi-centre analysis was conducted in patients who underwent RARC with intracorporeal urinary diversion and who received an immunotherapy-based neoadjuvant regimen between 2017 and 2023. Complications were classified using the Clavien-Dindo system.

View Article and Find Full Text PDF

Object pose estimation is essential for computer vision applications such as quality inspection, robotic bin picking, and warehouse logistics. However, this task often requires expensive equipment such as 3D cameras or Lidar sensors, as well as significant computational resources. Many state-of-the-art methods for 6D pose estimation depend on deep neural networks, which are computationally demanding and require GPUs for real-time performance.

View Article and Find Full Text PDF

Reliable and robust robotic handling of microplates via computer vision and touch feedback.

Front Robot AI

January 2025

CREATE Lab, Institute of Mechanical Engineering, School of Engineering, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.

Laboratory automation requires reliable and precise handling of microplates, but existing robotic systems often struggle to achieve this, particularly when navigating around the dynamic and variable nature of laboratory environments. This work introduces a novel method integrating simultaneous localization and mapping (SLAM), computer vision, and tactile feedback for the precise and autonomous placement of microplates. Implemented on a bi-manual mobile robot, the method achieves fine-positioning accuracies of 1.

View Article and Find Full Text PDF

Knee arthritis is a common degenerative joint disease, usually with joint swelling, chronic pain, and dysfunction as the main clinical manifestations. At present, the conservative treatment for knee arthritis is mostly using anti-inflammatory and analgesic drugs, but the effect is mostly temporary, and can not prevent its progress and surgery is usually the last treatment method. Total knee arthroplasty, also known as TKA, is one of the most effective treatments for osteoarthritis of the knee that has progressed to the end stage.

View Article and Find Full Text PDF

A lightweight prosthetic hand with 19-DOF dexterity and human-level functions.

Nat Commun

January 2025

Institute of Humanoid Robots, School of Engineering Science, University of Science and Technology of China, Hefei, 230026, China.

A human hand has 23-degree-of-freedom (DOF) dexterity for managing activities of daily living (ADLs). Current prosthetic hands, primarily driven by motors or pneumatic actuators, fall short in replicating human-level functions, primarily due to limited DOF. Here, we develop a lightweight prosthetic hand that possesses biomimetic 19-DOF dexterity by integrating 38 shape-memory alloy (SMA) actuators to precisely control five fingers and the wrist.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!