1 citations · 2 across the 6 of their papers we have counts for
6 papers
A Switched Adaptive Control Framework for Aerial Manipulators Under Dynamic Transitions
Rishabh Dev Yadav, Saksham Gupta, Amitabh Sharma +4
Aerial manipulators represent the forefront of aerial robotics. Although potentially capable of complex interaction tasks, controlling aerial manipulators throughout the dynamic tr…
Adaptive Artificial Time-Delay Control with Barrier Lyapunov Constraints for Euler-Lagrange Robots
Saksham Gupta, Rishabh Dev Yadav, Sarthak Mishra +5
This paper addresses the challenge of simultaneously compensating for state-dependent uncertainties and enforcing time-varying state constraints in Euler-Lagrange systems, a common…
Bab_Sak Robotic Intubation System (BRIS): A Learning-Enabled Control Framework for Safe Fiberoptic Endotracheal Intubation
Saksham Gupta, Sarthak Mishra, Arshad Ayub +3
Endotracheal intubation is a critical yet technically demanding procedure, with failure or improper tube placement leading to severe complications. Existing robotic and teleoperate…
AERMANI-VLM: Structured Prompting and Reasoning for Aerial Manipulation with Vision Language Models
Sarthak Mishra, Rishabh Dev Yadav, Avirup Das +3
The rapid progress of vision--language models (VLMs) has sparked growing interest in robotic control, where natural language can express the operation goals while visual feedback l…
Impedance and Stability Targeted Adaptation for Aerial Manipulator with Unknown Coupling Dynamics
Amitabh Sharma, Saksham Gupta, Shivansh Pratap Singh +5
Stable aerial manipulation during dynamic tasks such as object catching, perching, or contact with rigid surfaces necessarily requires compliant behavior, which is often achieved v…
An Integrated Approach to Aerial Grasping: Combining a Bistable Gripper with Adaptive Control
Rishabh Dev Yadav, Brycen Jones, Saksham Gupta +4
Grasping using an aerial robot can have many applications ranging from infrastructure inspection and maintenance to precise agriculture. However, aerial grasping is a challenging p…