15 citations · 38 across the 11 of their papers we have counts for
11 papers
PLaMo 2 Technical Report
Preferred Networks, :, Kaizaburo Chubachi +24
In this report, we introduce PLaMo 2, a series of Japanese-focused large language models featuring a hybrid Samba-based architecture that transitions to full attention via continua…
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…
Two-fingered Hand with Gear-type Synchronization Mechanism with Magnet for Improved Small and Offset Objects Grasping: F2 Hand
Naoki Fukaya, Avinash Ummadisingu, Kuniyuki Takahashi +2
A problem that plagues robotic grasping is the misalignment of the object and gripper due to difficulties in precise localization, actuation, etc. Under-actuated robotic hands with…
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…
F3 Hand: A Versatile Robot Hand Inspired by Human Thumb and Index Fingers
Naoki Fukaya, Avinash Ummadisingu, Guilherme Maeda +1
It is challenging to grasp numerous objects with varying sizes and shapes with a single robot hand. To address this, we propose a new robot hand called the 'F3 hand' inspired by th…
Cluttered Food Grasping with Adaptive Fingers and Synthetic-Data Trained Object Detection
Avinash Ummadisingu, Kuniyuki Takahashi, Naoki Fukaya
The food packaging industry handles an immense variety of food products with wide-ranging shapes and sizes, even within one kind of food. Menus are also diverse and change frequent…
Target-mass Grasping of Entangled Food using Pre-grasping & Post-grasping
Kuniyuki Takahashi, Naoki Fukaya, Avinash Ummadisingu
Food packing industries typically use seasonal ingredients with immense variety that factory workers manually pack. For small pieces of food picked by volume or weight that tend to…
Uncertainty-Aware Self-Supervised Target-Mass Grasping of Granular Foods
Kuniyuki Takahashi, Wilson Ko, Avinash Ummadisingu +1
Food packing industry workers typically pick a target amount of food by hand from a food tray and place them in containers. Since menus are diverse and change frequently, robots mu…
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.…
ABCpy: A High-Performance Computing Perspective to Approximate Bayesian Computation
Ritabrata Dutta, Marcel Schoengens, Lorenzo Pacchiardi +5
ABCpy is a highly modular scientific library for Approximate Bayesian Computation (ABC) written in Python. The main contribution of this paper is to document a software engineering…