Ravi Kumar Mandava
@iiitk.ac.in
Assistant professor
Indian Institute of Information Technology Design and Manufacturing Kurnool
RESEARCH, TEACHING, or OTHER INTERESTS
Mechanical Engineering, Industrial and Manufacturing Engineering, Multidisciplinary
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
Scopus Publications
Panchanand Jha, G. Praveen Kumar Yadav, Din Bandhu, Nuthalapati Hemalatha, Ravi Kumar Mandava, Mehmet Şükrü Adin, Kuldeep K. Saxena, and Mahaboob Patel
Springer Science and Business Media LLC
AbstractEstimation and tracking the various joints of the human body in a dynamic environment plays a crucial role and it is a challenging task. Based on human–machine interaction, in the current research work the authors attempted to explore the real-time positioning of a humanoid arm using a human pose estimation framework. Kinect depth sensor and media pipe framework are used to obtain the three-dimensional position information of human skeleton joints. Further, the obtained joint coordinates are used to calculate the joint angles using the inverse kinematics approach. These joint angles are helpful in controlling the movement of the neck, shoulder, and elbow of a humanoid robot by using Python-Arduino serial communication. Finally, a comparison study was conducted between the Kinect, MediaPipe, and real-time robots while obtaining the joint angles. It has been found that the obtained result from the MediaPipe framework yields a minimum standard error compared to Kinect-based joint angles.
Mukti Tomar, Sunitha Mandava, Nuthalapti Hemalatha, Veeravalli Ramakoteswara Rao, and Ravi Kumar Mandava
Ram Arti Publishers
Controlling the manipulators in a precise manner is a challenging task. To overcome this difficulty around the world, many researchers have developed various control algorithms but are not providing optimal results. To obtain the optimal results in the current research the authors designed a proportional, integral, and derivative (PID) controller, fuzzy logic controller (FLC), and sliding mode controller (SMC) for a 2-DOF manipulator. The concept of forward and inverse kinematics was initially solved after assigning the D-H parameters for each joint. The purpose of forward or direct kinematics is to obtain the position and orientation of the end effector. Further, the concept of inverse kinematics is used to estimate the joint angles. Later on, the Lagrange-Euler formulation was used to calculate the dynamics of the 2-DOF manipulator, which is required to estimate the torque required for each joint of the robotics arm. The main goal of this research problem is to optimize the angular error between the two successive events. Finally, the developed algorithm is compared with the existing algorithms such as PID and Fuzzy logic controller.
Moh Shahid Khan and Ravi Kumar Mandava
Obuda University
Vishnu Prasad Pandey, Kanishka Tiwari, and Ravi Kumar Mandava
Springer Nature Singapore
Prabhakar Nandivada, Jagana Nikhil, I. Arun Kumar, and Ravi Kumar Mandava
Springer Nature Singapore
Gangadhara Rao Ponugoti, Ravi Kumar Mandava, and Pandu Ranga Vundavilli
Inderscience Publishers
Deepak Parappagoudar, Ravi Kumar Mandava, Pandu R Vundavilli, and Balaji Betadur
SAGE Publications
Obtaining the collision-free path for the biped walking machine/robot in an obstacle clustered environment is a challenging task. To overcome this difficulty, researchers around the world are implementing several collision-free path planning algorithms. It is significant to note that an effective path-planning methodology helps the biped robot to achieve a collision-free path with a minimum travel path. In the current investigation, the authors have proposed a new path planning procedure, that is, Fast Sweeping Method (FSM), to obtain the optimal path for the biped robot in a static environment. To check the effectiveness of the developed procedure, in the present investigation, the authors have tested it in both simulations as well as on an actual biped robot in a static domain. Further, the results of the current algorithm are compared with two established path planning algorithms, namely the Fast Marching Method (FMM) and A-star algorithms. In the end, it has been detected that the proposed algorithm obtains the best collision-free optimal path when compared with the Fast Marching Method (FMM) and A-star algorithms.
Ravi Kumar Mandava, Vajrala Venkata Reddy, Veeravalli Rama Koteswara Rao, and K. Srinivasulu Reddy
Springer Science and Business Media LLC
Moh Shahid Khan and Ravi Kumar Mandava
Springer Nature Switzerland
Sadineni Rama Rao, Ravi Kumar Mandava, and Veeravalli Rama Koteswara Rao
Elsevier BV
Vajrala Venkata Reddy, Ravi Kumar Mandava, and K. Srunivasulu Reddy
Springer Nature Singapore
Kunchala Balakrishana Reddy, Gamini Suresh, Ravi Kumar Mandava, and T. Ch. Anil Kumar
Springer Nature Singapore
Vajrala Venkata Reddy, Ravi Kumar Mandava, Veeravalli Ramakoteswara Rao, and Sunitha Mandava
Elsevier BV
Mukti Tomar, Moh Shahid Khan, Ravi K. Mandava, and D. Giri Babu
IEEE
In current improvement in the control field, progressed control calculations are set up for the frameworks under the variety of state-space vulnerabilities due to displaying errors, nonlinearities, and outside instabilities. Amongst the diverse, vigorous control algorithms sliding-mode-control (SMC) is one such meant for the regulator technologist because of its benefits. Sliding-mode-control has developed quickly as a control in examination with other substantial control because of its highlights such as unresponsive toward vulnerabilities, decreased order sliding mode conditions, and nonlinear control. The reactions of the framework for SMC and PID regulators are acquired utilizing SIMULINK, and the outcomes are thought about. Here PID is taken as a reference controller.
Shyam Prasad Kodali, Ravi Kumar Mandava, and Boggarapu Nageswara Rao
Springer Nature Singapore
K. Srinivasulu Reddy, V. Venkata Reddy, and Ravi Kumar Mandava
Springer Nature Singapore
Sarthak Pradhan, Ravi Kumar Mandava, and Pandu R. Vundavilli
Springer Science and Business Media LLC
Ravi Kumar Mandava and Pandu R. Vundavilli
Springer Science and Business Media LLC
Abhishek Meghji Chheda, Ravi Kumar Mandava, and Pandu R. Vundavilli
Inderscience Publishers
Solving self-balancing problems of a wheeled robot that can assist human beings in real-time applications is a challenging task. Researchers around the world are adopting the concept of the inverted pendulum to control the robot in both the static and dynamic conditions. In the present research, the authors have designed and developed a two-wheeled robot and established a PID controller to make the robot self-balancing in nature while performing the task in office environments. The gains of the PID controller that help in achieving the self-balancing phenomenon are tuned with the help of trial and error method. Moreover, the manoeuvrability of the robot is controlled with the help of a wired nunchuck controller that uses a wireless serial transceiver module. Furthermore, the performance of the robot is evaluated by analysing its strength, load carrying capacity and stability through real-time experiments.
Ravi Kumar Mandava and Pandu R. Vundavilli
Springer Science and Business Media LLC
Priyaranjan Samal, Ravi Kumar Mandava, and Pandu R. Vundavilli
Springer Science and Business Media LLC
Jishnu AK, Ravi Kumar Mandava, and Pandu R. Vundavilli
Springer Singapore
Sumit Govind Kanpartiwar, Ravi Kumar Mandava, and Pandu R. Vundavilli
Springer Singapore
Priyaranjan Samal, Rishu Raj, Ravi Kumar Mandava, and Pandu R. Vundavilli
Springer Singapore