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Naris Asawalertsak

4 accepted papers

2025

Adaptive Neural Control With Online Learning and Short-Term Memory for Adaptive Soft Crawling Robots

RA-L 2025

Soft-bodied crawling animals exhibit efficient and adaptive behaviors resulting from the synergy between morphological computation (e.g., a flexible soft body and anisotropic skin) and neural computation (e.g., neural control with plasticity and short-term memory (STM)). However, applying these prin

Cited by 1SourceScholar
2025

Performance consequences of information-based centralization arising from neural and mechanical coupling in a walking robot

IROS 2025

Legged animals still outperform many terrestrial robots due to the complex interplay of various component subsystems. Centralization is a potential integrated design axis to help improve the performance of legged robots in variable terrain environments. Centralization arises from the coupling of mul

Cited by 0SourceScholar
2024

S-BUN: Soft Bifunctional Utility Module for Robot Sensing and Signaling

IROS 2024poster

Conventional approaches in robotics for perceiving the environment and signaling the robot’s state or intention for human-robot interaction involve the use of separate sensing and signaling systems. This can sometimes result in high costs and complex system installations. In this study, we propose a…

Cited by 0SourceScholar
2023

Insect Tarsus-Inspired Compliant Robotic Gripper With Soft Adhesive Pads for Versatile and Stable Object Grasping

RA-L 2023

Grasping multiple object types (versatile object grasping) with a single gripper is always a challenging task in robotic manipulation. Different types of grippers, including rigid and soft, have been developed to try to achieve the task. However, each gripper type is still restricted to specific obj

Cited by 19SourceScholar