activity
20102026
most citedThe ORCA Hub: Explainable Offshore Robotics through Intelligent Interfaces

36 citations · 271 across the 74 of their papers we have counts for

collaborators
Showing 2021 · cs.ROShow all

7 papers · 2 filters

cs.RO2021★ 3 cited

A Unified Model with Inertia Shaping for Highly Dynamic Jumps of Legged Robots

Ke Wang, Guiyang Xin, Songyan Xin +3

To achieve highly dynamic jumps of legged robots, it is essential to control the rotational dynamics of the robot. In this paper, we aim to improve the jumping performance by propo…

cs.RO2021

Non-prehensile Planar Manipulation via Trajectory Optimization with Complementarity Constraints

João Moura, Theodoros Stouraitis, Sethu Vijayakumar

Contact adaption is an essential capability when manipulating objects. Two key contact modes of non-prehensile manipulation are sticking and sliding. This paper presents a Trajecto…

cs.RO2021

AcousticFusion: Fusing Sound Source Localization to Visual SLAM in Dynamic Environments

Tianwei Zhang, Huayan Zhang, Xiaofei Li +3

Dynamic objects in the environment, such as people and other agents, lead to challenges for existing simultaneous localization and mapping (SLAM) approaches. To deal with dynamic e…

cs.RO2021★ 2 cited

Robust and Dexterous Dual-arm Tele-Cooperation using Adaptable Impedance Control

Keyhan Kouhkiloui Babarahmati, Mohammadreza Kasaei, Carlo Tiseo +2

In recent years, the need for robots to transition from isolated industrial tasks to shared environments, including human-robot collaboration and teleoperation, has become increasi…

cs.RO2021★ 14 cited

HapFIC: An Adaptive Force/Position Controller for Safe Environment Interaction in Articulated Systems

Carlo Tiseo, Wolfgang Merkt, Keyhan Kouhkiloui Babarahmati +4

Haptic interaction is essential for the dynamic dexterity of animals, which seamlessly switch from an impedance to an admittance behaviour using the force feedback from their propr…

cs.RO2021

A Versatile Co-Design Approach For Dynamic Legged Robots

Traiko Dinev, Carlos Mastalli, Vladimir Ivan +2

We present a versatile framework for the computational co-design of legged robots and dynamic maneuvers. Current state-of-the-art approaches are typically based on random sampling…