PDA based user interface management system for remote control robots

Park, Ji; Kim, Ki‐Hyun; Jeon, Jae Wook

doi:10.1109/sice.2006.315333

Cited by 6 publications

(2 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Similar, Nilas et al [2004] used PDA with interactive navigation software for teleoperation of mobile robot. Improvement of PDAbased human-robot interface for teleoperation systems was described by Park et al [2006]. Human-computer interface based on touch screen was used in supervising industrial machines and systems (See Tansel et al [2004], Valladares et al [2000], Wu et al [2007]).…”

Section: Introductionmentioning

confidence: 99%

A Comparative Study of Indirect and Direct Workspace Representation in Human-Robot Interaction

Farkhatdinov

Balashov

Ryu

et al. 2009

IFAC Proceedings Volumes

View full text Add to dashboard Cite

Section: Introductionmentioning

confidence: 99%

A Comparative Study of Indirect and Direct Workspace Representation in Human-Robot Interaction

Farkhatdinov

Balashov

Ryu

et al. 2009

IFAC Proceedings Volumes

View full text Add to dashboard Cite

“…The user can control the robot from indoors or outdoors. The user interface requires that the robot is controlled easily and safely [2].…”

Section: Introductionmentioning

confidence: 99%

Obstacle collision prevention of mobile robot using force feedback in remote sites

Jung

Song

Jeon

2008

Proceedings of the 2nd International Conference on Ubiquitous Information Management and Communication

View full text Add to dashboard Cite

Essential surrounding environmental information needed to control remote mobile robots can be garnered from devices such as cameras, and ultrasonic and infrared sensors. Image delay and sensor noise sensitivity may engender inaccuracies in the information collected. Robot control by the user may become difficult. A force feedback controller transmitting a repulsive force to the user can aid recognition of the surrounding environment. This can operate despite the limited image information and uncertain sensor information. It is possible to transmit the magnitude and direction of the repulsive force by a vibration. The controller manages the vibration frequency and the vibration magnitude. A robot displays the information of the surrounding environment on a grid map to calculate the repulsive force of the obstacle. The cells of the grid map are filled with the certainty value of the obstacle. Then, the robot calculates the sum of the repulsive forces of the obstacle by a repulsive force vector calculation. The user can obtain the distance between the obstacle and robot using tactile perception using this method. The user, recognizing the obstacle's distance by the magnitude and duration of the vibration, can navigate the robot at a remote site.

show abstract