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20th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2025

作者： Park, Cheonshu Cho, Miyoung Shin, Minjung Ryu, Jeh-Kwang Jang, Minsu Social Robotics Research Lab Daejeon Korea Republic of Seoul National University Interdisciplinary Program in Cognitive Science Seoul Korea Republic of Dongguk University Department of Physical Education Seoul Korea Republic of

ISBN: (纸本)9798350378931

This study presents an adaptive human-robot interaction (HRI) system that evaluates older adult participants' satisfaction with personalized health care programs. By integrating the CLOi robot with a large language model (LLM), the system conducts satisfaction surveys that adapt in real-time to participant responses. The system was applied to evaluate healthcare programs that include physical health measurements, exercise assessments, and virtual reality (VR) experiences. The system utilizes the CLOi robot and Claude API to analyze response clarity in real-time, automatically generating contextually appropriate follow-up questions when responses are deemed ambiguous. This adaptive questioning strategy ensures comprehensive response quality before proceeding to subsequent survey items. We conducted a preliminary feasibility study with five older adult participants to evaluate our approach. The system leverages LLM prompts to analyze gaps between question intent and participant responses, generating targeted follow-up questions as needed. Results demonstrate that our LLM-enhanced robotic interview system effectively reduced response ambiguity through dynamic follow-up questioning, achieving an 85% response resolution rate. This adaptive approach improved the clarity and specificity of healthcare satisfaction assessments for older adults. © 2025 IEEE.

关键词： Industrial robots

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Adaptive Robot-Mediated Assessment using LLM for Enhanced Survey Quality in Older Adults Care programs 25

Adaptive Robot-Mediated Assessment using LLM for Enhanced Su...

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ACM/IEEE International Conference on Human-Robot Interaction (HRI)

作者： Cheonshu Park Miyoung Cho Minjung Shin Jeh-Kwang Ryu Minsu Jang Social Robotics Research Lab Electronics and Telecommunications Research Institute (ETRI) Daejeon Republic of Korea Interdisciplinary Program in Cognitive Science Seoul National University Seoul Republic of Korea Department of Physical Education Dongguk University Seoul Republic of Korea

ISBN: (数字)9798350378931

ISBN: (纸本)9798350378948

关键词： Surveys Large language models Human-robot interaction Medical services Virtual reality Particle measurements Real-time systems Question generation Older adults Robots

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Predictive control of an efficient human following robot using Kinect sensor

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Journal of Institute of Control, robotics and Systems 2014年第9期20卷 957-963页

作者： Heo, Shin-Nyeong Lee, Jang-Myung Department of Interdisciplinary Program in Robotics Pusan National University Korea Republic of Department of Electrical Engineering Pusan National University Korea Republic of

This paper proposes a predictive control for an efficient human following robot using Kinect sensor. Especially, this research is focused on detecting of foot-end-point and foot-vector instead of human body which can be occluded easily by the obstacles. Recognition of the foot-end-point by the Kinect sensor is reliable since the two feet images can be utilized, which increases the detection possibility of the human motion. Depth image features and a decision tree have been utilized to estimate the foot endpoint precisely. A tracking point average algorithm is also adopted in this research to estimate the location of foot accurately. Using the continuous locations of foot, the human motion trajectory is estimated to guide the mobile robot along a smooth path to the human. It is verified through the experiments that detecting foot-end-point is more reliable and efficient than detecting the human body. Finally, the tracking performance of the mobile robot is demonstrated with a human motion along an 'L' shape course. © ICROS 2014.

关键词： Mobile robots

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Outdoor localization for a quad-rotor using extended Kalman filter and path planning

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Journal of Institute of Control, robotics and Systems 2014年第11期20卷 1175-1180页

作者： Kim, Ki-Jung Lee, Dong-ju Kim, Yoon-Ki Lee, Jang-Myung Department Interdisciplinary Program in Robotics Pusan National University Korea Republic of Depart of Electrical Engineering Pusan National University Korea Republic of

This paper proposes a new technique that produces improved local information using a low-cost GPS/INS system combined with Extended Kalman Filter and Path Planning when a Quad-rotor flies. In the research, a low-cost GPS is combined with INS by Extended Kalman Filter to improve local information. However, this system has disadvantages in that estimation accuracy is getting worsens when the Quad-rotor flies through the air in a curve and precision of location information is influenced by performance of the used GPS. An algorithm based on Path Planning is adopted to deal with these weaknesses. When the Quad-rotor flies outdoors, a short moving path can be predicted because all short moving paths of quad-rotor can be assumed to be straight. Path planning is used to make the short moving path and determine the closest local information of data of the GPS/INS system to location determined by path planning. Through the foregoing process, improved local data is obtained when the quad-rotor flies, and the performance of the proposed system is verified from various outdoor experiments. © ICROS 2014.

关键词： Extended Kalman filters

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Object following robot using vision camera, single curvature trajectory and Kalman filters

Object following robot using vision camera, single curvature...

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6th International Conference on Intelligent robotics and Applications, ICIRA 2013

作者： Heo, Shin-Nyeong Lim, Hyun-Seop Hwang, Seungik Lee, Jangmyung Interdisciplinary Program in Robotics Pusan National University Korea Republic of Department of Electrical Engineering Pusan National University Korea Republic of

ISBN: (纸本)9783642408519

Path planning of mobile robot has a purpose to design an optimal path from an initial position to a target point. Minimum driving time, minimum driving distance and minimum driving error might be considered in choosing the optimal path and they are correlated to each other. In this paper, an efficient driving trajectory is planned in a real situation where a mobile robot follows a moving object. Position and distance of the moving object are obtained using a web camera;the rotation angular and linear velocities are estimated using Kalman filters to predict the trajectory of the moving object. Finally the mobile robot follows the moving object using a single curvature trajectory by estimating trajectory of the moving object. Using the estimation by Kalman filters and the single curvature in the trajectory planning, the total tracking distance and error rate have been saved about 7 %. © 2013 Springer-Verlag Berlin Heidelberg.

关键词： Kalman filters

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Vision based people tracking using stereo camera and camshift

Vision based people tracking using stereo camera and camshif...

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6th International Conference on Intelligent robotics and Applications, ICIRA 2013

作者： Park, Kang-Il Park, Chan-Ik Lee, Jangmyung Interdisciplinary Program in Robotics Pusan National University Korea Republic of Department of Electrical Engineering Pusan National University Korea Republic of

ISBN: (纸本)9783642408519

In this paper proposes a visual manipulation method that incorporates computation of 3D object position from characteristic disparity of stereo image. First, we proceed to an image revision work using the calibration. To obtain the characteristic disparity, a set of characteristic points, essential to obtain characteristics like center points or corner points are determined from the CAMShift center of left and right images. By iterative computation and tracking in real time, the algorithm is able to robustly provide accurate 3D position of target objects. © 2013 Springer-Verlag Berlin Heidelberg.

关键词： Calibration

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Outdoor precision position estimation system using multi-GPS receivers

Outdoor precision position estimation system using multi-GPS...

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6th International Conference on Intelligent robotics and Applications, ICIRA 2013

作者： Choi, Seunghwan Kim, Kijung Kim, Yunki Lee, Jangmyung Interdisciplinary Program in Robotics Pusan National University Korea Republic of Department of Electrical Engineering Pusan National University Korea Republic of

ISBN: (纸本)9783642408519

In this paper, tightly coupled system is designed using multi-GPS receivers based on the Extended Kalman Filter(EKF). Typically, GPS has the instantaneous error and INS has the disadvantage that the cumulative error occurs over time. To fill the gap, receiving is stabilized and accuracy is higher position information get using multi-GPS receivers. INS's data is precisely updated through the multi-GPS's position data in the data fusion process of the EKF. Through experiment, it can verify the results compared single GPS and multi-GPS position error, and then calibrated mobile robot position estimation results can be found. © 2013 Springer-Verlag Berlin Heidelberg.

关键词： Global positioning system

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Vibration pattern for the implementation of haptic joystick

Vibration pattern for the implementation of haptic joystick

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6th International Conference on Intelligent robotics and Applications, ICIRA 2013

作者： Noh, Kyung-Wook Kang, Sun-Kyun Lee, Dong-Hyuk Lee, Jangmyung Department of Interdisciplinary Program in Robotics Pusan National University Korea Republic of Department of Electrical Engineering Pusan National University Korea Republic of

ISBN: (纸本)9783642408519

In this paper, the obstacle recognition research is conducted by using vibration pattern. Remotely, the user can perceive the surroundings sensed by the obstacle recognition unit. The vibration motor was installed at the bottom of the joystick in order to let the user perceive the distance value of the obstacle which can be recognized by ultrasonic sensors. And in the various situations, the operation can be precisely implemented by using the Fuzzy controller. © 2013 Springer-Verlag Berlin Heidelberg.

关键词： Ultrasonic sensors

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A study on obstacle detection using 3D Hough transform with corner

A study on obstacle detection using 3D Hough transform with ...

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作者： Hwang, Sun Min Kim, Chi Yen Beak, Jun-Young Eom, Hyeon Seob Lee, Min Cheol Interdisciplinary Program in Robotics Pusan National University Busan Korea Republic of School of Mechanical Engineering Pusan National University Busan Korea Republic of

ISBN: (纸本)9784907764364

Collision avoidance is essential element for safe navigation of mobile robot. In mobile robot system, various sensors are used to recognize or detect objects which have possibility of collision against robot during driving. As inescapable fault of each sensor, many researchers have studied sensor fusion and compensation methods to overcome the problems. Most popular sensors used for mobile robot are laser and ultrasonic sensors. However it is difficult for these sensors to find obstacle in case of a slope road. For the slope environment, this paper studies vision method. Vision sensor can detect slope by using randomized Hough transform (RHT). This paper suggests a method of detecting an obstacle in a complicated space with slant using RHT and corner information. This paper proves to compare the result of presence RHT. © 2010 SICE.

关键词： Mobile robots

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A self-organizing autonomous prediction system for controlling mobile robots

A self-organizing autonomous prediction system for controlli...

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2009 International Conference on Automation, robotics and Control Systems, ARCS 2009

作者： De Leeuw, Josh R. Livingston, Kenneth R. Interdisciplinary Robotics Research Lab. Vassar College Poughkeepsie NY United States Department of Psychology and Program in Cognitive Science Vassar College Poughkeepsie NY United States

ISBN: (纸本)9781615676552

No single innovation is likely to precipitate the sudden emergence of a truly general and robust artificial intelligence. Instead, a careful study of the history of efforts to build AI systems and consideration of factors responsible for evolved general intelligence suggest point toward several promising lines of research. In the research reported here we explore the hypothesis that the ability to learn autonomously from patterns of success and failure at making predictions about what will happen next in a perception-action loop may be a necessary condition for robust AI, even if it is not sufficient. We present a novel learning architecture, the Self-Organizing Autonomous Prediction System, which learns to predict the consequences of actions within a perception-action loop. Two simulation studies demonstrate the success of the approach and the value of prediction-based learning as an important feature of highly adaptive intelligence. Future elaborations of this approach are also discussed.

关键词： Forecasting

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