T. T. Hoang

RO
h-index5
3papers
8citations
Novelty40%
AI Score31

3 Papers

1.2NCOct 6, 2025
The Bayesian Origin of the Probability Weighting Function in Human Representation of Probabilities

Xin Tong, Thi Thu Uyen Hoang, Xue-Xin Wei et al.

Understanding the representation of probability in the human mind has been of great interest to understanding human decision making. Classical paradoxes in decision making suggest that human perception distorts probability magnitudes. Previous accounts postulate a Probability Weighting Function that transforms perceived probabilities; however, its motivation has been debated. Recent work has sought to motivate this function in terms of noisy representations of probabilities in the human mind. Here, we present an account of the Probability Weighting Function grounded in rational inference over optimal decoding from noisy neural encoding of quantities. We show that our model accurately accounts for behavior in a lottery task and a dot counting task. It further accounts for adaptation to a bimodal short-term prior. Taken together, our results provide a unifying account grounding the human representation of probability in rational inference.

1.7ROJul 18, 2017
Stabilization Control of the Differential Mobile Robot Using Lyapunov Function and Extended Kalman Filter

T. T. Hoang, P. M. Duong, N. T. T. Van et al.

This paper presents the design of a control model to navigate the differential mobile robot to reach the desired destination from an arbitrary initial pose. The designed model is divided into two stages: the state estimation and the stabilization control. In the state estimation, an extended Kalman filter is employed to optimally combine the information from the system dynamics and measurements. Two Lyapunov functions are constructed that allow a hybrid feedback control law to execute the robot movements. The asymptotical stability and robustness of the closed loop system are assured. Simulations and experiments are carried out to validate the effectiveness and applicability of the proposed approach.

1.7ROJul 18, 2017
Control of an Internet-based Robot System Using the Real-time Transport Protocol

P. M. Duong, T. T. Hoang, T. Q. Vinh

In this paper, we introduce a novel approach in controlling robot systems over the Internet. The Real-time Transport Protocol (RTP) is used as the communication protocol instead of traditionally using TCP and UDP. The theoretic analyses, the simulation studies and the experimental implementation have been performed to evaluate the feasibility and effectiveness of the proposed approach for practical uses.