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Angelika Peer

7 accepted papers

2023

CLIO: a Novel Robotic Solution for Exploration and Rescue Missions in Hostile Mountain Environments

ICRA 2023poster

Rescue missions in mountain environments are hardly achievable by standard legged robots—because of the high slopes—or by flying robots—because of limited payload capacity. We present a concept for a rope-aided climbing robot which can negotiate up-to-vertical slopes and carry heavy payloads. The ro…

Cited by 7SourcecodeScholar
2018

Enhancing the Command-Following Bandwidth for Transparent Bilateral Teleoperation

IROS 2018poster

Enhancing transparency of a teleoperation system by increasing the command-following bandwidth has not received lots of attention so far. This is considered a challenging task since in a teleoperation system the command-following bandwidth of the slave robot motion controller cannot be increased wit…

Cited by 4SourceScholar
2016

A new interaction force decomposition maximizing compensating forces under physical work constraints

ICRA 2016

In manipulation tasks interaction forces are often decomposed to be able to control robustness-reflective and accelerating forces separately. While this decomposition is typically performed for the synthesis of interaction forces to be applied for example in the context of robotic grasping, less att

Cited by 5SourceScholar
2016

Human-Inspired Neurorobotic System for Classifying Surface Textures by Touch

RA-L 2016

Giving robots the ability to classify surface textures requires appropriate sensors and algorithms. Inspired by the biology of human tactile perception, we implement a neurorobotic texture classifier with a recurrent spiking neural network, using a novel semisupervised approach for classifying dynam

Cited by 60SourceScholar
2016

Port-based modeling of human-robot collaboration towards safety-enhancing energy shaping control

ICRA 2016

While collision detection and contact-related injury reduction in physical human-robot interaction has been studied intensively, safety issues in physical human-robot collaboration (pHRC) with continuous coupling of human and robot(s) has received little attention so far. We develop an energy monito

Cited by 13SourceScholar