10 accepted papers
In open-ended task settings, the ability of a robot to execute diverse tasks accurately by following language instructions is critical. Methods based on traditional imitation learning typically depend on extensive expert demonstrations and often struggle to generalize in the case of unseen scenarios…
This study proposes LiP-LLM: integrating linear programming and dependency graph with large language models (LLMs) for multi-robot task planning. For multi-robots to efficiently perform tasks, it is necessary to manage the precedence dependencies between tasks. Although multi-robot decentralized and
Mobile manipulators require coordinated control of navigation and manipulation to accomplish tasks. Typically, coordinated mobile manipulation behaviors involve base navigation to approach the goal followed by arm manipulation to reach the desired pose. The embodiment selection between the base and
In open-ended task settings, the ability of a robot to execute diverse tasks accurately by following language instructions is critical. Methods based on traditional imitation learning typically depend on extensive expert demonstrations and often struggle to generalize in the case of unseen scenarios
In this study, we propose a shared control method for teleoperated mobile robots using brain-machine interfaces (BMI). The control commands generated through BMI for robot operation face issues of low input frequency, discreteness, and uncertainty due to noise. To address these challenges, our metho…
Soft matter computers (SMCs) are promising control and computation mechanisms that do not use rigid materials. In such mechanisms, conductive droplets are used to switch the state of the voltage applied to connected loads, such as in an electric actuator. Without a complex structure, an SMC can only
With the advancements in the field of life sciences, there is an increasing demand for measuring cell characteristics. In this context, we developed a small microhand system that uses two end-effectors, such as chopsticks, to grasp and carry micro-objects. In addition, we succeeded in measuring the
There are structural challenges in increasing the softness of conventional soft tactile sensors because rigid electrical elements have to be installed around the sensing areas, which should be compressive, stretchable, and durable. To solve these issues, we propose an inductive tactile sensor whose
In this paper, we propose a method for motion learning aimed at the execution of autonomous household chores by service robots in real environments. For robots to act autonomously in a real environment, it is necessary to define the appropriate actions for the environment. However, it is difficult t…
In this paper, we propose a method for motion learning aimed at the execution of autonomous household chores by service robots in real environments. For robots to act autonomously in a real environment, it is necessary to define the appropriate actions for the environment. However, it is difficult t