Potiwat Ngamkajornwiwat

Panyapiwat Institute Of Management | PIM · Faculty of Engineering

Low gravity is one of the most challenging considerations when designing robots for space exploration. Owing to the changing gravitational forces, the locomotion performance of a legged robot tends to decrease when gravity decreases. Recently, quadrupedal robots have been increasingly promoted for space exploration. Most existing studies have mainl...

In this study, we present a novel neural control architecture for gait adaptation and obstacle avoidance of a tailless gecko robot. The control architecture is based on a hierarchical modular structure, consisting of several neural layers and modules. The first layer contains three sensory preprocessing modules which filter sensory noise and genera...

Many CPG-based locomotion models have a problem known as the tracking error problem, where the mismatch between the CPG driving signal and the state of the robot can cause undesirable behaviours for legged robots. Towards alleviating this problem, we introduce a mechanism that modulates the CPG signal using the robot’s interoceptive information. Th...

Developing a controller that enables a walking robot to autonomously adapt its locomotion to navigate unknown complex terrains is difficult, and the methods developed to address this problem typically require robot kinematics with arduous parameter tuning or machine learning techniques that require several trials or repetitions. To overcome this li...

We presented the concept of “Embodied Spiritual Machine”, a type of technology that embody the known religious/spiritual figure by learning the figure’s remaining artifacts. We implemented Buddha Bot as an example of the embodied spiritual machine using NLP and semantic computing. Through online participatory study, we presented our preliminary fin...

We presented “Mind-Controlled 3D Printer” that translates brain signals from the user into 3D printed food. This system integrated an EEG recording device that measures neural activities in real-time with a machine learning algorithm that classify emotional valence and arousal levels, which determine the shape and size of the food fabricated by the...

Geckos are highly adaptable creatures, able to scale a variety of slopes, including walls, and can change their gait depending on their environment. Roboticists have tried to implement this behaviour in gecko robots. So far, an open-loop controlled robot without a tail that uses only one specific gait can climb to a 50° slope. In this paper, we pro...

This paper presents a design and performance analysis of the passive microgravity sensor. The passive microgravity sensor is specially designed for non-electric supplied payload, which was launched in Mission 9 of New Shepard, Blue origin. Due to the weightlessness during microgravity, the general mass-spring systems with appropriate mass and sprin...

Deforestation is one of the main contributors to global warming as humans’ clear vast areas of forests around the world for farming, urban and infrastructure development. Therefore, preventing deforestation through reforestation and plantation management are important action in the fight against global warming as the long-term policy. Past of decad...

Walking animals show a high level of proficiency in locomotion performance. This inspires the development of legged robots to approach these living creatures in emulating their abilities to cope with uncertainty and to quickly react to changing environments in artificial systems. Central pattern generators (CPGs) and a hormone mechanism are promisi...

Based on the context of higher life expectancy and lower pregnancy rate, ageing society is unavoidable. Technological response is necessary. Hormone Couture exhibition presents two wearable technologies that aesthetically respond to women's reproductive hormone and body temperature changes. The designs address how technology creates a biopolitical...