1 citations · 1 across the 4 of their papers we have counts for
10 papers
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…
Learn Structure, Adapt on the Fly: Multi-Scale Residual Learning and Online Adaptation for Aerial Manipulators
Samaksh Ujjawal, Naveen Sudheer Nair, Shivansh Pratap Singh +3
Autonomous Aerial Manipulators (AAMs) are inherently coupled, nonlinear systems that exhibit nonstationary and multiscale residual dynamics, particularly during manipulator reconfi…
Physics-Aware Sparse Learning and Selective Online Adaptation for Euler-Lagrange Robot Dynamics
Rishabh Dev Yadav, Samaksh Ujjawal, Sihao Sun +2
Accurate dynamics models are essential for model-based robotic control, yet nominal Euler--Lagrange models often become inaccurate in the presence of payload variation, unmodeled c…
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…
Learning Cross-Coupled and Regime Dependent Dynamics for Aerial Manipulation
Rishabh Dev Yadav, Samaksh Ujjawal, Sihao Sun +2
Accurate dynamics models are critical for aerial manipulators operating under complex tasks such as payload transport. However, modeling these systems remains fundamentally challen…
SoraNav: Adaptive UAV Task-Centric Navigation via Zeroshot VLM Reasoning
Hongyu Song, Rishabh Dev Yadav, Cheng Guo +1
Autonomous navigation under natural language instructions represents a crucial step toward embodied intelligence, enabling complex task execution in environments ranging from indus…