activity
20162026
most citedDeep Model Predictive Variable Impedance Control

47 citations · 71 across the 14 of their papers we have counts for

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7 papers · 1 filter

cs.RO2026

The Quadruped Soft Tail: Compliant Grasping and Swabbing for Contamination Surveys in Harsh Environments

Harald Minde Hansen, Nandita Gallacher, Kristin Y. Pettersen +2

Beryllium contamination surveys in radioactive areas are challenging for robots in environments cluttered with cables and electronics. To address this problem, we have developed a…

cs.RO2026

Data-Driven Dynamic Modeling of a Tendon-Actuated Continuum Robot

Harald Minde Hansen, Bjørn Kåre Sæbø, Kristin Y. Pettersen +2

Developing dynamic models for tendon-driven continuum robots is challenging due to their nonlinear, high-dimensional, and friction-dominated dynamics. This paper presents a compara…

cs.RO2026

Tendon-Actuated Robots with a Tapered, Flexible Polymer Backbone: Design, Fabrication, and Modeling

Harald Minde Hansen, Nandita Gallacher, Nicholas B. Andrews +3

This paper presents the design, modeling, and fabrication of 3D-printed, tendon-actuated continuum robots featuring a flexible, tapered backbone constructed from thermoplastic poly…

cs.RO2025

LeVERB: Humanoid Whole-Body Control with Latent Vision-Language Instruction

Haoru Xue, Xiaoyu Huang, Dantong Niu +8

Vision-language-action (VLA) models have demonstrated strong semantic understanding and zero-shot generalization, yet most existing systems assume an accurate low-level controller…

cs.RO2022★ 47 cited

Deep Model Predictive Variable Impedance Control

Akhil S Anand, Fares J. Abu-Dakka, Jan Tommy Gravdahl

The capability to adapt compliance by varying muscle stiffness is crucial for dexterous manipulation skills in humans. Incorporating compliance in robot motor control is crucial to…

cs.RO2019★ 3 cited

CASCLIK: CasADi-Based Closed-Loop Inverse Kinematics

Mathias Hauan Arbo, Esten Ingar Grøtli, Jan Tommy Gravdahl

A Python module for rapid prototyping of constraint-based closed-loop inverse kinematics controllers is presented. The module allows for combining multiple tasks that are resolved…

cs.RO2017★ 1 cited

On Model Predictive Path Following and Trajectory Tracking for Industrial Robots

Mathias Hauan Arbo, Esten Ingar Grøtli, Jan Tommy Gravdahl

In this article we show how the model predictive path following controller allows robotic manipulators to stop at obstructions in a way that model predictive trajectory tracking co…