output
20132022
most citedBio-inspired acousto-magnetic microswarm robots with upstream motility

174 citations

14 papers

physics.app-ph2022★ 13 cited

Strain sensitive flexible magnetoelectric ceramic nanocomposites

Minsoo Kim, Donghoon Kim, Buse Aktas +5

Advanced flexible electronics and soft robotics require the development and implementation of flexible functional materials. Magnetoelectric (ME) oxide materials can convert magnet…

cs.RO2022★ 53 cited

Programmable Control of Ultrasound Swarmbots through Reinforcement Learning

Matthijs Schrage, Mahmoud Medany, Daniel Ahmed

Powered by acoustics, existing therapeutic and diagnostic procedures will become less invasive and new methods will become available that have never been available before. Acoustic…

cond-mat.mtrl-sci2022★ 27 cited

Giant shape-memory effect in twisted ferroic nanocomposites

Donghoon Kim, Minsoo Kim, Steffen Reidt +7

The shape recovery ability of shape-memory alloys vanishes below a critical size (~50nm), which prevents their practical applications at the nanoscale. In contrast, ferroic materia…

cs.RO2022★ 28 cited

Dynamic Task Space Control Enables Soft Manipulators to Perform Real-World Tasks

Oliver Fischer, Yasunori Toshimitsu, Amirhossein Kazemipour +1

Dynamic motions are a key feature of robotic arms, enabling them to perform tasks quickly and efficiently. Soft continuum manipulators do not currently consider dynamic parameters…

physics.plasm-ph2021★ 53 cited

Reduced etch lag and high aspect ratios by deep reactive ion etching (DRIE)

M. S. Gerlt, N. F. Läubli, M. Manser +2

Deep reactive ion etching (DRIE) with the Bosch process is one of the key procedures used to manufacture micron-sized structures for MEMS and microfluidic applications in silicon a…

cond-mat.soft2020★ 174 cited

Bio-inspired acousto-magnetic microswarm robots with upstream motility

Daniel Ahmed, David Hauri, Alexander Sukhov +4

The ability to propel against flows, i.e., to perform positive rheotaxis, can provide exciting opportunities for applications in targeted therapeutics and non-invasive surgery. To…

eess.SP2020★ 4 cited

Covariance Intersection to Improve the Robustness of the Photoplethysmogram Derived Respiratory Rate

Jia Zhang, Gaetano Scebba, Walter Karlen

Respiratory rate (RR) can be estimated from the photoplethysmogram (PPG) recorded by optical sensors in wearable devices. The fusion of estimates from different PPG features has le…

cs.CY2020★ 37 cited

A Deep Learning Approach to Diagnosing Multiple Sclerosis from Smartphone Data

Patrick Schwab, Walter Karlen

Multiple sclerosis (MS) affects the central nervous system with a wide range of symptoms. MS can, for example, cause pain, changes in mood and fatigue, and may impair a person's mo…

eess.SP2019★ 26 cited

Forecasting intracranial hypertension using multi-scale waveform metrics

Matthias Hüser, Adrian Kündig, Walter Karlen +2

Objective: Acute intracranial hypertension is an important risk factor of secondary brain damage after traumatic brain injury. Hypertensive episodes are often diagnosed reactively,…

cs.RO2018★ 10 cited

Nonlinear disturbance attenuation control of hydraulic robotics

Peng Lu, Timothy Sandy, Jonas Buchli

This paper presents a novel nonlinear disturbance rejection control for hydraulic robots. This method requires two third-order filters as well as inverse dynamics in order to estim…

cs.RO2018★ 23 cited

A Projection Approach to Equality Constrained Iterative Linear Quadratic Optimal Control

Markus Giftthaler, Jonas Buchli

This paper presents a state and state-input constrained variant of the discrete-time iterative Linear Quadratic Regulator (iLQR) algorithm, with linear time-complexity in the numbe…

cs.RO2017★ 142 cited

Mobile Robotic Fabrication at 1:1 scale: the In situ Fabricator

Markus Giftthaler, Timothy Sandy, Kathrin Dörfler +6

This paper presents the concept of an In situ Fabricator, a mobile robot intended for on-site manufacturing, assembly and digital fabrication. We present an overview of a prototype…

math.OC2015★ 62 cited

Evaluating direct transcription and nonlinear optimization methods for robot motion planning

Diego Pardo, Lukas Möller, Michael Neunert +2

This paper studies existing direct transcription methods for trajectory optimization applied to robot motion planning. There are diverse alternatives for the implementation of dire…

eess.SY2013★ 49 cited

Unscented Orientation Estimation Based on the Bingham Distribution

Igor Gilitschenski, Gerhard Kurz, Simon J. Julier +1

Orientation estimation for 3D objects is a common problem that is usually tackled with traditional nonlinear filtering techniques such as the extended Kalman filter (EKF) or the un…