Multi-Player Virtual Ping-Pong Game

Uematsu, Yuko; Saitō, Hideo

doi:10.1109/icat.2007.34

Cited by 11 publications

(4 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Therefore, many researchers have begun to develop knob interfaces with haptic functions. Initially, AC/DC motors and/or mechanical brake modules were used in haptic knobs [1][2][3][4][5][6]. Badescu et al developed a haptic knob based on a DC motor and brake for vehicle instrument control [1].…”

Section: Introductionmentioning

confidence: 99%

“…Badescu et al developed a haptic knob based on a DC motor and brake for vehicle instrument control [1]. Kim et al reported a haptic dial system and its remote controller application for intuitive interaction with a target device [2,3]. Chapuis et al proposed a haptic knob based on a hybrid ultrasonic motor and powder brake with a fast response [4].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A haptic knob based on the combination of shear mode and flow mode magnetorheological behaviors

Yoon

Kim

et al. 2023

Smart Mater. Struct.

View full text Add to dashboard Cite

This study proposes a small haptic knob that provides kinesthetic torque feedback and vibrotactile feelings using magnetorheological fluids (MRF). A novel rotation shaft structure, including blades, is introduced into the haptic knob to simultaneously contribute two operation modes (shear and flow) of the MRF to its actuation. A simulation analysis is conducted to investigate the creation of the combinational mode in the haptic knob and to maximize the resistive torque by optimizing the blade angle. An experimental study is conducted to determine the optimal angle. Through experiments, the kinesthetic torque increased from 0.002 to 0.2 N·m as the current input was increased from 0 to 1.28 A. Furthermore, the haptic knob illustrated strong and stable vibrotactile feedback in the frequency range of 1–50 Hz.

show abstract

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A haptic knob based on the combination of shear mode and flow mode magnetorheological behaviors

Yoon

Kim

et al. 2023

Smart Mater. Struct.

View full text Add to dashboard Cite

show abstract

“…The rapid growth of computer networks over the past decade has provided the impetus for adding the sense of touch to applications, such as cooperative industrial design (Glencross et al, 2007), surgical teletraining (Mitra & Niemeyer, 2007), telerehabilitation (Sugarman, Dayan, Weisel-Eichler, & Tiran, 2006), and multi-user on-line computer games (Kim, Han, Kim, Kim, & Song, 2007). In these applications, multiple distant users must interact with other users and/or with the shared virtual environment simultaneously.…”

Section: Introductionmentioning

confidence: 99%

Average-Position Coordination for Distributed Multi-User Networked Haptic Cooperation

Rakhsha

Constantinescu

2015

Journal of Human-Robot Interaction

View full text Add to dashboard Cite

Proportional-derivative (PD) control is often used to coordinate the two copies of the virtual environment in distributed two-users networked haptic cooperation. However, a distributed PD controller designed for force interactions between two users may destabilize the haptic cooperation among multiple users because the effective coordination gain for each local copy of the virtual environment increases with the participant count. This paper proposes the average position (AP) strategy to upper bound the effective stiffness for the shared virtual object (SVO) coordination and, thus, to increase the stability of distributed multi-user haptic cooperation. The paper first motivates the AP strategy via continuous-time analysis of the autonomous dynamics of an SVO distributed among N users connected across a network with infinite bandwidth and no communication delay. We then investigate the effect of AP coordination on distributed multi-user haptic interactions over a network with limited bandwidth and constant and small communication delay via multi-rate stability and performance analyses of cooperative manipulations of an SVO by up to five operators. The paper shows that AP coordination: (1) has bounded effective coordination gain; (2) increases the stability region of distributed multi-user haptic cooperation compared to conventional PD coordination; and (3) renders less viscous SVO dynamics to operators than PD coordination. Three-users experimental manipulations of a shared virtual cube validate the analysis.

show abstract

“…For ping-pong paddle tracking, researchers have applied optical tracking in virtual-reality games (Kim et al, 2007;Rusdorf et al, 2007) and have acquired smooth motion trajectories using commercial motion capture devices, e.g., Vicon. However, such devices are prohibitively expensive and have some limitations during implementation.…”

Section: Introductionmentioning

confidence: 99%

Stroke Motion Learning for a Humanoid Robotic Ping-Pong Player Using a Novel Motion Capture System

Lai¹,

Tsay²

2010

Journal of Computer Science

View full text Add to dashboard Cite

Problem statement: Human ping-pong players determine the stroke trajectory according to their experience before the ball enters their court. However, to enable a humanoid robot to select the appropriate stroke motion based on skills learned from 3D motion, important patterns must be generated to simplify the complex 3D motion. Approach: This study developed an effective strategy for teaching ping-pong skills to a humanoid robot. An optical/inertial motion-capture system that retrieves the stroke motion was constructed, along with the retrieved stroke motion trajectories analyzed to obtain the desired stroke patterns of the robot. Results: A motion capture system was implemented mainly to orient the robot on the stroke motion trajectory. This system was applied directly to a ping-pong game between a human player and a pitching machine to enable the robot to learn backhand strokes through human demonstration. The ball was continuously struck to the opponent so that it hit the anticipated region on the opposite side of the court while the pitching machine served the ball. The data were then classified using the proposed stopping detector and then processed by Principal Components Analysis (PCA) to generate the stroke patterns after collecting 50 datasets for stroke trajectories. Conclusion: The right arm of the humanoid robot was successfully instructed to perform the actual ping-pong stroke using the generated trajectory.

show abstract

Multi-Player Virtual Ping-Pong Game

Abstract: In

Cited by 11 publications

References 12 publications

A haptic knob based on the combination of shear mode and flow mode magnetorheological behaviors

A haptic knob based on the combination of shear mode and flow mode magnetorheological behaviors

Average-Position Coordination for Distributed Multi-User Networked Haptic Cooperation

Stroke Motion Learning for a Humanoid Robotic Ping-Pong Player Using a Novel Motion Capture System

Contact Info

Product

Resources

About