7 citations · 15 across the 7 of their papers we have counts for
7 papers
TACT: Humanoid Whole-body Contact Manipulation through Deep Imitation Learning with Tactile Modality
Masaki Murooka, Takahiro Hoshi, Kensuke Fukumitsu +5
Manipulation with whole-body contact by humanoid robots offers distinct advantages, including enhanced stability and reduced load. On the other hand, we need to address challenges…
Four-Axis Adaptive Fingers Hand for Object Insertion: FAAF Hand
Naoki Fukaya, Koki Yamane, Shimpei Masuda +3
Robots operating in the real world face significant but unavoidable issues in object localization that must be dealt with. A typical approach to address this is the addition of com…
SAID-NeRF: Segmentation-AIDed NeRF for Depth Completion of Transparent Objects
Avinash Ummadisingu, Jongkeum Choi, Koki Yamane +3
Acquiring accurate depth information of transparent objects using off-the-shelf RGB-D cameras is a well-known challenge in Computer Vision and Robotics. Depth estimation/completion…
Stable Object Placing using Curl and Diff Features of Vision-based Tactile Sensors
Kuniyuki Takahashi, Shimpei Masuda, Tadahiro Taniguchi
Ensuring stable object placement is crucial to prevent objects from toppling over, breaking, or causing spills. When an object makes initial contact to a surface, and some force is…
Precise Well-plate Placing Utilizing Contact During Sliding with Tactile-based Pose Estimation for Laboratory Automation
Sameer Pai, Kuniyuki Takahashi, Shimpei Masuda +3
Micro well-plates are an apparatus commonly used in chemical and biological experiments that are a few centimeters thick and contain wells or divets. In this paper, we aim to solve…
Sim-to-Real Transfer of Compliant Bipedal Locomotion on Torque Sensor-Less Gear-Driven Humanoid
Shimpei Masuda, Kuniyuki Takahashi
Sim-to-real is a mainstream method to cope with the large number of trials needed by typical deep reinforcement learning methods. However, transferring a policy trained in simulati…
Distributed Reinforcement Learning of Targeted Grasping with Active Vision for Mobile Manipulators
Yasuhiro Fujita, Kota Uenishi, Avinash Ummadisingu +3
Developing personal robots that can perform a diverse range of manipulation tasks in unstructured environments necessitates solving several challenges for robotic grasping systems.…