Juho Kalliokoski

University of Oulu, Ubiquitous Energy (United States)

Papers

Total Citations

H-Index

About

Juho Kalliokoski is a researcher at the forefront of human-robot interaction, specializing in immersive telepresence and shared control systems. His work focuses on making remote robotic presence more intuitive, comfortable, and user-friendly, particularly through the integration of virtual reality (VR) and novel control interfaces. Kalliokoski’s major contributions include pioneering methods to reduce VR sickness in telepresence robots, most notably through his 2022 paper “Unwinding Rotations Improves User Comfort with Immersive Telepresence Robots” (10 citations), which proposed a technique to decouple user head rotations from robot movements. He further advanced the field by developing leaning-based control mechanisms, as detailed in his 2022 study (7 citations), which allowed users to steer a differential-drive robot using a balance board, creating a more natural and embodied experience. Additionally, his work on the Human-Influenced Dynamic Window Approach (HI-DWA) (4 citations) introduced a shared control framework that lets users dynamically adjust a robot’s autonomous path—for instance, steering it closer to objects or farther from people. With a total of 21 citations across his key papers, Kalliokoski is establishing himself as a rising voice in accessible, human-centered robotics, bridging the gap between autonomous navigation and user intent.