Classification of histopathology images of lung cancer using convolutional neural network (CNN)

N Baranwal, P Doravari… - Disruptive Developments in …, 2022 - taylorfrancis.com
Cancer is the uncontrollable cell division of abnormal cells inside the human body, which
can spread to other body organs. It is a non-communicable diseases (NCDs), which account …

An empirical review of calibration techniques for the pepper humanoid robot's RGB and depth camera

AK Singh, N Baranwal, KF Richter - Intelligent Systems and Applications …, 2020 - Springer
This paper presents a comparative study of different calibration techniques to align the
Pepper Humanoid Robot's depth camera with respect to its RGB camera. Both cameras are …

Knowledge acquisition from parsing natural language expressions for humanoid robot action commands

DR Recupero, F Spiga - Information Processing & Management, 2020 - Elsevier
In this paper we propose an approach that allows the NAO humanoid robot to execute
natural language commands spoken by the user. To provide the robot with knowledge, we …

Q-learning trajectory planning based on Takagi–Sugeno fuzzy parallel distributed compensation structure of humanoid manipulator

S Wen, X Hu, X Lv, Z Wang… - International Journal of …, 2019 - journals.sagepub.com
NAO is the first robot created by SoftBank Robotics. Famous around the world, NAO is a
tremendous programming tool and he has especially become a standard in education and …

Improved Mispronunciation detection system using a hybrid CTC-ATT based approach for L2 English speakers

N Baranwal, S Chilaka - arXiv preprint arXiv:2201.10198, 2022 - arxiv.org
This report proposes state-of-the-art research in the field of Computer Assisted Language
Learning (CALL). Mispronunciation detection is one of the core components of Computer …

[PDF][PDF] An improved performance of the designed robotic motion control for NAO robot arms using hybrid neural network-Jacobian

A Nugroho, EM Yuniarno, MH Purnomo - Int. J. Intell. Eng. Syst, 2023 - researchgate.net
Inverse kinematics plays a significant role in the robotic motion control. The flexible way to
formulate the inverse kinematics can be achieved by using a neural network. The drawback …

Fusion of gesture and speech for increased accuracy in human robot interaction

N Baranwal, AK Singh… - 2019 24th International …, 2019 - ieeexplore.ieee.org
An approach for decision-level fusion for gesture and speech based human-robot interaction
(HRI) is proposed. A rule-based method is compared with several machine learning …

A sketch drawing humanoid robot using image-based visual servoing

MC Lau, J Anderson, J Baltes - The Knowledge Engineering Review, 2019 - cambridge.org
This paper presents our sketch drawing artist humanoid robot research. One of the
limitations of the existing artist humanoid robot is the lack of feedback on the error that …

Designing a humanoid robot integrated Exer-Learning-Interaction (ELI)

T Nama, S Deb, B Debnath, P Kumari - Procedia Computer Science, 2020 - Elsevier
This is a design of transitive gesture-based human-robot interaction (HRI) for enhancing
elementary learning outcome of special need children. It is an experimental Precept Action …

Literature on Hand GESTURE Recognition using Graph based methods

N Baranwal, V Sharma - arXiv preprint arXiv:2207.00329, 2022 - arxiv.org
Skeleton based recognition systems are gaining popularity and machine learning models
focusing on points or joints in a skeleton have proved to be computationally effective and …