Search Results - "Chiddarwar, Shital S"

Integrating Virtual Twin and Deep Neural Networks for Efficient and Energy-Aware Robotic Deburring in Industry 4.0 by Rahul, M. R., Chiddarwar, Shital S.

“…In the context of modern manufacturing, digitalization, real-time monitoring, and simulation are integral components that contribute to efficiency and energy…”
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Simultaneous balancing and trajectory tracking control for an omnidirectional mobile robot with a cylinder using switching between two robust controllers by Alakshendra, Veer, Chiddarwar, Shital S

“…With the growing use of mobile robots in home applications, e-commerce warehouses, and so on it is necessary to pay attention to their object carrying…”
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Incremental approach for trajectory generation of spray painting robot by Andulkar, Mayur V, Chiddarwar, Shital S

“…Purpose This paper aims to present a new offline robot programming approach for automated trajectory generation on free-form surfaces targeted toward spray…”
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Conflict free coordinated path planning for multiple robots using a dynamic path modification sequence by Chiddarwar, Shital S., Ramesh Babu, N.

“…In this paper, a practically viable approach for conflict free, coordinated motion planning of multiple robots is proposed. The presented approach is a two…”
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Adaptive robust control of Mecanum-wheeled mobile robot with uncertainties by Alakshendra, Veer, Chiddarwar, Shital S.

“…This paper presents a novel implementation of an adaptive robust second-order sliding mode control (ARSSMC) on a mobile robot with four Mecanum wheels. Each…”
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Deep Reinforcement Learning with Inverse Jacobian based Model-Free Path Planning for Deburring in Complex Industrial Environment by Rahul, M. R., Chiddarwar, Shital S.

“…In this study, we present an innovative approach to robotic deburring path planning by combining deep reinforcement learning (DRL) with an inverse Jacobian…”
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Integrating digital twin and computer vision system for efficient pick-and-place operation using Tecnomatix Process Simulate by Jakhotiya, Yash, Rahul, M. R., Chiddarwar, Shital S.

“…The rapid growth in the automation industry calls for reducing the time required to do repetitive tasks while minimizing the error caused by the human involved…”
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A causality-inspired data augmentation approach to cross-domain burr detection using randomly weighted shallow networks by Rahul, M. R., Chiddarwar, Shital S.

“…The challenge of generalizing deep learning models to new, unseen areas or domains is common in material removal applications. This paper focuses on the…”
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Comparison of RBF and MLP neural networks to solve inverse kinematic problem for 6R serial robot by a fusion approach by Chiddarwar, Shital S., Ramesh Babu, N.

“…In this paper, a fusion approach to determine inverse kinematics solutions of a six degree of freedom serial robot is proposed. The proposed approach makes use…”
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Intuitive dynamic modeling and flatness-based nonlinear control of a mobile robot by Sahoo, Saumya R, Chiddarwar, Shital S, Alakshendra, Veer

“…In this paper, a bond graph model of a mobile robot with four Mecanum wheels is developed to extract a dynamic model of the robot. This is achieved using the…”
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Novel integrated offline trajectory generation approach for robot assisted spray painting operation by Andulkar, Mayur V., Chiddarwar, Shital S., Marathe, Akshay S.

“…•A new approach for automatic offline robot trajectory generation is developed.•Models for paint distribution, spray gun and task constraints are…”
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Flatness-based control scheme for hardware-in-the-loop simulations of omnidirectional mobile robot by Sahoo, Saumya R, Chiddarwar, Shital S

“…Omnidirectional robots offer better maneuverability and a greater degree of freedom over conventional wheel mobile robots. However, the design of their control…”
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Robot programming by demonstration using teleoperation through imitation by Jha, Abhishek, Chiddarwar, Shital S.

“…Purpose This paper aims to present a new learning from demonstration-based trajectory planner that generalizes and extracts relevant features of the desired…”
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Kinematics-based approach for robot programming via human arm motion by Jha, Abhishek, Chiddarwar, Shital S., Alakshendra, Veer, Andulkar, Mayur V.

“…Programming by demonstration approach is becoming an interesting option for programming industrial robots due to the costs involved in the conventional methods…”
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Multi-Agent System for Off-Line Coordinated Motion Planning of Multiple Industrial Robots by Chiddarwar, Shital S., Babu, N. Ramesh

“…This article presents an agent based framework for coordinated motion planning of multiple robots. The emerging paradigm of agent based systems is implemented…”
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Design of robust adaptive controller for a four wheel omnidirectional mobile robot by Alakshendra, Veer, Chiddarwar, Shital S.

“…This paper presents a methodology for designing an adaptive and robust sliding mode controller for a four wheel omnidirectional mobile robot (FWOMR). First…”
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A robust adaptive control of mecanum wheel mobile robot: simulation and experimental validation by Alakshendra, Veer, Chiddarwar, Shital S.

“…Omnidirectional mobile robots with four Mecanum wheels are used in various homes, military, nuclear power plant, industrial, hospital and space applications. A…”
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An integrated approach for robot training using Kinect and human arm kinematics by Jha, Abhishek, Chiddarwar, Shital S., Andulkar, Mayur V.

“…In this paper, a new approach based on amalgamation of Kinect based motion sensing system and human arm kinematics is proposed for motion control of an…”
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Autonomous Navigation of Drones Using Explainable Deep Reinforcement Learning in Foggy Environment by Sayed, Laeba Jeelani, Souripalli, Pawan Kumar, Chiddarwar, Shital S.

“…Autonomous navigation of Unmanned Aerial Vehicles (UAV) in complex environments is still a challenging field. Recognizing UAV real-time perception as a…”
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Multi-Agent System for Off-Line Coordinated Motion Planning of Multiple Industrial Robots by Shital S. Chiddarwar, N. Ramesh Babu

“…This article presents an agent based framework for coordinated motion planning of multiple robots. The emerging paradigm of agent based systems is implemented…”
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