17 accepted papers
Multi-modal large language models (LLMs) are expected to significantly enhance the intelligence of home service robots. However, reliance on cloud processing of raw visual data poses critical privacy risks. To address this problem, we propose a novel two-stage cloud-edge hybrid architecture for robo…
To ensure safe cooperative driving in mixed traffic with both manned and unmanned vehicles, it is crucial to understand and model the driving styles of human drivers. This paper explores how to develop accurate recognition of driving style and use that for the prediction of vehicle motion, which ena…
Different people have different preferences when it comes to human-robot interaction. Therefore, it is desirable for the robot to adapt its actions to fit users’ preferences. Human feedback is essential to facilitating robot adaptation. However, when the task is complex or the robot action space is…
Existing conversational robots are mostly reactive in that the interactions are usually initiated by the users. With the knowledge of the environmental context such as people’s daily activities, robots can be more intelligent and proactive. In this paper, we proposed a context-aware conversation ada…
The ability to search for objects is a fundamental prerequisite for mobile robots when addressing a wide range of automation tasks. However, how to effectively estimate the positions of unobserved objects in a continuously changing environment remains an open challenge. Previous works have utilized
To achieve safe cooperative driving in mixed traffic of manned and unmanned vehicles, it is necessary to understand and model human drivers' driving behaviors. This paper proposed a Hidden Markov Model (HMM)-based method to analyze human driver's control and vehicle's dynamics; and then recognize th…
Modeling a human-driven vehicle is a difficult subject since human drivers have a variety of stochastic behavioral components that influence their driving styles. We develop a cooperative driving framework to incorporate dif-ferent human behavior aspects, including the attentiveness of a driver and…
This paper presents a cooperative driving testbed based on vehicle-to-vehicle (V2V) communication, which can be used for research in intelligent transportation systems, such as collision avoidance in mixed traffic of both human-driven vehicles and autonomous vehicles. To achieve the goal, an intelli…
Older adults who age in place face many health problems and need to be taken care of. Fall is a serious problem among elderly people. In this paper, we present the design and implementation of collaborative fall detection using a wearable device and a companion robot. First, we developed a wearable…
Memory loss is a part of normative aging. Many older adults commonly forget to take prescribed medication, which can have an adverse effect on health. Therefore, it is important to provide older adults with a medication reminder service. There are several mobile apps and devices capable of reminding
Negative affects such as anger, fear, nervousness, depression, etc., may increase human's susceptibility to illness. In this letter, we propose a negative emotion management system that is able to recognize negative emotions through ECG signal and perform emotion regulation through a robot assistant
Distracted driving is one of the main contributors to traffic accidents. This paper proposes a deep learning approach to detecting multiple distracted driving behaviors. In order to obtain more accurate detection results, a synchronized image recognition system based on two cameras is designed, by w…
This paper proposes a driver assistance system with a collaborative control framework between the human driver and a Collision Avoidance System (CAS) for vehicles on the road while considering the driver drowsiness status. Driver drowsiness detection is performed with two inputs: driver's facial dat…
Water is a highly abundant nutrient in the human body and monitoring of its regulation is essential to keep the body hydrated. A number of critical health conditions including swelling of the brain and short/long term memory loss are associated with poor or excessive drinking habits. This can be pre…
Map building is a fundamental task in many robotic applications. In this paper, we propose a novel approach for 3D mapping of indoor environments which allows a robot avatar to collaborate with a human seamlessly through a virtual reality (VR) device. The 3D map is created using the 3D data from an…
This paper proposes and implements an auditory perception platform for a home service robot that serves the elderly living alone at home. A layered architecture for the proposed platform was developed to realize the various auditory perception capabilities while enabling a remote caregiver to involv…
Teaching robots manipulative skills through human demonstration is an important research problem and can be used to quickly program robots in future manufacturing industries. To understand human demonstration, manipulative actions need to be recognized. To improve the recognition performance, we use…