Humanoid robot locomotion control by posture recognition for human-robot interaction

Gao, Xinyi; Zheng, Minhua; Meng, Max Q.-H.

doi:10.1109/robio.2015.7418995

Cited by 2 publications

(1 citation statement)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The fact that people may be occluding each other can negatively affect the accuracy of the distance estimation as well. In many HRI scenarios, robots perceive the scene from an egocentric view often through inbuilt Red–Green–Blue (RGB) cameras [8,9]. Therefore, approaches providing information from single cameras can be relevant to many robotic platforms and Mobile Robotic Telepresence (MRP) robots [5].…”

Section: Introductionmentioning

confidence: 99%

A Novel Method for Estimating Distances from a Robot to Humans Using Egocentric RGB Camera

Pathi

Kiselev

Kristoffersson

et al. 2019

Sensors

View full text Add to dashboard Cite

Estimating distances between people and robots plays a crucial role in understanding social Human–Robot Interaction (HRI) from an egocentric view. It is a key step if robots should engage in social interactions, and to collaborate with people as part of human–robot teams. For distance estimation between a person and a robot, different sensors can be employed, and the number of challenges to be addressed by the distance estimation methods rise with the simplicity of the technology of a sensor. In the case of estimating distances using individual images from a single camera in a egocentric position, it is often required that individuals in the scene are facing the camera, do not occlude each other, and are fairly visible so specific facial or body features can be identified. In this paper, we propose a novel method for estimating distances between a robot and people using single images from a single egocentric camera. The method is based on previously proven 2D pose estimation, which allows partial occlusions, cluttered background, and relatively low resolution. The method estimates distance with respect to the camera based on the Euclidean distance between ear and torso of people in the image plane. Ear and torso characteristic points has been selected based on their relatively high visibility regardless of a person orientation and a certain degree of uniformity with regard to the age and gender. Experimental validation demonstrates effectiveness of the proposed method.

show abstract

Section: Introductionmentioning

confidence: 99%

A Novel Method for Estimating Distances from a Robot to Humans Using Egocentric RGB Camera

Pathi

Kiselev

Kristoffersson

et al. 2019

Sensors

View full text Add to dashboard Cite

show abstract

Robotic Vision for Human-Robot Interaction and Collaboration: A Survey and Systematic Review

Robinson

Tidd

Campbell

et al. 2023

J. Hum.-Robot Interact.

View full text Add to dashboard Cite

Robotic vision for human-robot interaction and collaboration is a critical process for robots to collect and interpret detailed information related to human actions, goals, and preferences, enabling robots to provide more useful services to people. This survey and systematic review presents a comprehensive analysis on robotic vision in human-robot interaction and collaboration over the last 10 years. From a detailed search of 3850 articles, systematic extraction and evaluation was used to identify and explore 310 papers in depth. These papers described robots with some level of autonomy using robotic vision for locomotion, manipulation and/or visual communication to collaborate or interact with people. This paper provides an in-depth analysis of current trends, common domains, methods and procedures, technical processes, data sets and models, experimental testing, sample populations, performance metrics and future challenges. This manuscript found that robotic vision was often used in action and gesture recognition, robot movement in human spaces, object handover and collaborative actions, social communication and learning from demonstration. Few high-impact and novel techniques from the computer vision field had been translated into human-robot interaction and collaboration. Overall, notable advancements have been made on how to develop and deploy robots to assist people.

show abstract

Humanoid robot locomotion control by posture recognition for human-robot interaction

Cited by 2 publications

References 18 publications

A Novel Method for Estimating Distances from a Robot to Humans Using Egocentric RGB Camera

A Novel Method for Estimating Distances from a Robot to Humans Using Egocentric RGB Camera

Robotic Vision for Human-Robot Interaction and Collaboration: A Survey and Systematic Review

Contact Info

Product

Resources

About