This review article aims to address common research questions in hexapod robotics. How
can we build intelligent autonomous hexapod robots that can exploit their biomechanics …

Imitation learning aims to reproduce expert behaviors without relying on an explicit reward
signal. However, real-world demonstrations often present challenges, such as multi-modal …

Chemical synthesis is state-of-the-art, and, therefore, it is generally based on chemical
intuition or experience of researchers. The upgraded paradigm that incorporates automation …

Math word problem solver requires both precise relation reasoning about quantities in the
text and reliable generation for the diverse equation. Current sequence-to-tree or relation …

This article addresses the problem of legged locomotion in unstructured environments, and
a novel hierarchical multicontact motion planning method for hexapod robots is proposed by …

Reliable navigation systems have a wide range of applications in robotics and autonomous
driving. Current approaches employ an open-loop process that converts sensor inputs …

Rapid adaptation to the environment is the long-term task of reinforcement learning.
However, reinforcement learning faces great challenges in dynamic environments …

Gait plays a decisive role in the performance of hexapod robot walking; this paper focuses
on adaptive gait generation with reinforcement learning for a hexapod robot. Moreover, the …

Legged locomotion in unstructured environments with static and dynamic obstacles is
challenging. This paper proposes a novel Hierarchical Multi-Contact motion planning …

In this study, we introduce a new bionic hexapod robot designed for agricultural applications
to address the limitations of traditional wheeled agricultural robots. Our design features a …