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Espen Knoop

14 accepted papers

2026

CoCo-InEKF: State Estimation with Learned Contact Covariances in Dynamic, Contact-Rich Scenarios

RSS 2026poster

Robust state estimation for highly dynamic motion of legged robots remains challenging, especially in dynamic, contact-rich scenarios. Traditional approaches often rely on binary contact states that fail to capture the nuances of partial contact or directional slippage. This paper presents CoCo-InEK…

Cited by 0SourceScholar
2026

Olaf: Bringing an Animated Character to Life in the Physical World

RA-L 2026

Animated characters often move in non-physical ways and have proportions that are far from a typical walking robot. This provides an ideal platform for innovation in both mechanical design and stylized motion control. In this letter, we bring Olaf to life in the physical world, relying on reinforcem

Cited by 6SourceScholar
2026

Robot Crash Course: Learning Soft and Stylized Falling

ICRA 2026poster

Despite recent advances in robust locomotion, bipedal robots operating in the real world remain at risk of falling. While most research focuses on preventing such events, we instead concentrate on the phenomenon of falling itself. Specifically, we aim to reduce physical damage to the robot while pro…

2025

Autonomous Human-Robot Interaction via Operator Imitation

IROS 2025

Teleoperated robotic characters can perform expressive interactions with humans, relying on the operators’ experience and social intuition. In this work, we propose to create autonomous interactive robots, by training a model to imitate operator data. Our model is trained on a dataset of human-robot

Cited by 2SourceScholar
2024

Design and Control of a Bipedal Robotic Character

RSS 2024poster

Legged robots have achieved impressive feats in dynamic locomotion in challenging unstructured terrain. However, in entertainment applications, the design and control of these robots face additional challenges in appealing to human audiences. This work aims to unify expressive, artist-directed motio…

Cited by 11SourcePDFScholar
2023

Optimal Design of Flexible-Link Mechanisms With Desired Load-Displacement Profiles

RA-L 2023

Robot mechanisms that exploit compliance can perform complex tasks under uncertainty using simple control strategies, but it remains difficult to design mechanisms with a desired embodied intelligence. In this article, we propose an automated design technique that optimizes the desired load-displace

Cited by 4SourceScholar
2023

Transformer-Based Neural Augmentation of Robot Simulation Representations

RA-L 2023

Simulation representations of robots have advanced in recent years. Yet, there remain significant sim-to-real gaps because of modeling assumptions and hard-to-model behaviors such as friction. In this letter, we propose to augment common simulation representations with a transformer-inspired archite

Cited by 6SourceScholar
2021

A Versatile Inverse Kinematics Formulation for Retargeting Motions Onto Robots With Kinematic Loops

RA-L 2021

Robots with kinematic loops are known to have superior mechanical performance. However, due to these loops, their modeling and control is challenging, and prevents a more widespread use. In this letter, we describe a versatile Inverse Kinematics (IK) formulation for the retargeting of expressive mot

Cited by 17SourceScholar
2021

Singularity-Aware Design Optimization for Multi-Degree-of-Freedom Spatial Linkages

RA-L 2021

We introduce a singularity-aware design optimization method for spatial multi-degree-of-freedom mechanical linkages. At the core of our approach is an adversarial sampling strategy, which actively detects singular configurations within the targeted operation range. The detection of singularities in

Cited by 4SourceScholar
2019

Fast Handovers with a Robot Character: Small Sensorimotor Delays Improve Perceived Qualities

IROS 2019poster

We present a system for fast and robust handovers with a robot character, together with a user study investigating the effect of robot speed and reaction time on perceived interaction quality. The system can match and exceed human speeds and confirms that users prefer human-level timing. The system…

Cited by 40SourceScholar
2019

The Role of Closed-Loop Hand Control in Handshaking Interactions

RA-L 2019

In this letter, we investigate the role of haptic feedback in human-robot handshaking by comparing different force controllers. The basic hypothesis is that in human handshaking force control there is a balance between an intrinsic (open-loop) and extrinsic (closed-loop) contributions. We use an und

Cited by 21SourceScholar
2017

Handshakiness: Benchmarking for human-robot hand interactions

IROS 2017poster

Handshakes are common greetings, and humans therefore have strong priors of what a handshake should feel like. This makes it challenging to create compelling and realistic human-robot handshakes, necessitating the consideration of human haptic perception in the design of robot hands. At its most bas…

Cited by 42SourceScholar