A multifunctional soft robotic shape display with high-speed actuation, sensing, and control.

Shape displays which actively manipulate surface geometry are an expanding robotics domain with applications to haptics, manufacturing, aerodynamics, and more. However, existing displays often lack high-fidelity shape morphing, high-speed deformation, and embedded state sensing, limiting their potential uses. Here, we demonstrate a multifunctional soft shape display driven by a 10 × 10 array of scalable cellular units which combine high-speed electrohydraulic soft actuation, magnetic-based sensing, and control circuitry. We report high-performance reversible shape morphing up to 50 Hz, sensing of surface deformations with 0.1 mm sensitivity and external forces with 50 mN sensitivity in each cell, which we demonstrate across a multitude of applications including user interaction, image display, sensing of object mass, and dynamic manipulation of solids and liquids. This work showcases the rich multifunctionality and high-performance capabilities that arise from tightly-integrating large numbers of electrohydraulic actuators, soft sensors, and controllers at a previously undemonstrated scale in soft robotics.

Materials science. Materials that couple sensing, actuation, computation, and communication.

Tightly integrating sensing, actuation, and computation into composites could enable a new generation of truly smart material systems that can change their appearance and shape autonomously. Applications for such materials include airfoils that change their aerodynamic profile, vehicles with camouflage abilities, bridges that detect and repair damage, or robotic skins and prosthetics with a realistic sense of touch. Although integrating sensors and actuators into composites is becoming increasingly common, the opportunities afforded by embedded computation have only been marginally explored. Here, the key challenge is the gap between the continuous physics of materials and the discrete mathematics of computation. Bridging this gap requires a fundamental understanding of the constituents of such robotic materials and the distributed algorithms and controls that make these structures smart.

Evaluation of anti-activated protein C antibody development in patients with severe sepsis from four clinical studies with drotrecogin alpha (activated).

BACKGROUND: Drotrecogin alpha (activated) (DAA) is a recombinant human activated protein C (APC), which is an antithrombotic protein. OBJECTIVES: To evaluate the development of anti-APC antibodies in severe sepsis patients in DAA clinical studies. PATIENTS AND METHODS: Serum and plasma samples were collected in placebo-controlled studies (PROWESS, ADDRESS) and studies where all patients were DAA-treated (ENHANCE, XPRESS). An enzyme-linked immunosorbent assay detecting anti-APC IgA/IgG/IgM antibodies was used. IgG isolated from plasma of positive samples was tested for neutralizing activity against DAA-induced prolongation of activated partial thromboplastin time. RESULTS: The proportions of patients with negative baseline but positive postbaseline anti-APC antibodies were 1.5% (27/1855) and 1.6% (24/1493) in the DAA and placebo cohorts, respectively (P = 0.72 for the difference). Of the 27 DAA and 24 placebo patients with positive anti-APC antibodies, all but one (DAA) were alive at day 28, and all but seven (four DAA and three placebo) were alive at hospital discharge, including eight (five DAA and three placebo) patients who tested positive for anti-APC neutralizing antibodies. Two of the 51 patients who tested positive for the development of anti-APC antibodies experienced a thrombotic event (one DAA, one placebo). In ADDRESS, no anti-APC antibody was detected in the six DAA-treated patients who had received a previous course of DAA therapy. CONCLUSIONS: The proportion of patients with anti-APC antibodies was low and was similar between DAA-treated and placebo-treated patients. No relationship between anti-APC antibody development and adverse reactions was observed. There was no evidence that the anti-APC antibodies detected represented a specific immune response to DAA therapy.

Social integration of robots into groups of cockroaches to control self-organized choices.

Collective behavior based on self-organization has been shown in group-living animals from insects to vertebrates. These findings have stimulated engineers to investigate approaches for the coordination of autonomous multirobot systems based on self-organization. In this experimental study, we show collective decision-making by mixed groups of cockroaches and socially integrated autonomous robots, leading to shared shelter selection. Individuals, natural or artificial, are perceived as equivalent, and the collective decision emerges from nonlinear feedbacks based on local interactions. Even when in the minority, robots can modulate the collective decision-making process and produce a global pattern not observed in their absence. These results demonstrate the possibility of using intelligent autonomous devices to study and control self-organized behavioral patterns in group-living animals.