6 citations · 9 across the 3 of their papers we have counts for
4 papers
A strictly predefined-time convergent and anti-noise fractional-order zeroing neural network for solving time-variant quadratic programming in kinematic robot control
Yi Yang, Xiao Li, Xuchen Wang +5
This paper proposes a strictly predefined-time convergent and anti-noise fractional-order zeroing neural network (SPTC-AN-FOZNN) model, meticulously designed for addressing time-va…
A Predefined-Time Convergent and Noise-Tolerant Zeroing Neural Network Model for Time Variant Quadratic Programming With Application to Robot Motion Planning
Yi Yang, Xuchen Wang, Richard M. Voyles +1
This paper develops a predefined-time convergent and noise-tolerant fractional-order zeroing neural network (PTC-NT-FOZNN) model, innovatively engineered to tackle time-variant qua…
Coaching a Robotic Sonographer: Learning Robotic Ultrasound with Sparse Expert's Feedback
Deepak Raina, Mythra V. Balakuntala, Byung Wook Kim +2
Ultrasound is widely employed for clinical intervention and diagnosis, due to its advantages of offering non-invasive, radiation-free, and real-time imaging. However, the accessibi…
UltraGelBot: Autonomous Gel Dispenser for Robotic Ultrasound
Deepak Raina, Ziming Zhao, Richard Voyles +3
Telerobotic and Autonomous Robotic Ultrasound Systems (RUS) help alleviate the need for operator-dependability in free-hand ultrasound examinations. However, the state-of-the-art R…