113 citations · 229 across the 22 of their papers we have counts for
24 papers
Shifted-Chart Composition for Horizon-Optimal Time-Varying LQR
Viswas Dinesh, Spandan Roy
Horizon optimization in finite-horizon LQR treats the horizon as a decision variable and adds a penalty to the cost. Recent composition-based methods evaluate all candidat…
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…
AnyViewDex: View-Invariant Dexterous Manipulation from RGB Observations
Soham Patil, Om Sanjay Gunjal, Sourabh Bhosale +3
Visuomotor policies for multi-fingered dexterous manipulation are highly sensitive to camera viewpoint shifts. To achieve view invariance, recent methods increasingly rely on expli…
NoContactNoWorries: Estimating Contact through Vision and Proprioception for In-Hand Dexterous Manipulation
Soham Patil, Avirup Das, Sourabh Bhosale +1
Perceiving physical contact is fundamental to dexterous manipulation. While robots often rely on dedicated hardware tactile sensors, humans exhibit a remarkable ability to infer co…
Reinforcement Learning with Inner-loop Dynamics Estimator for Aerial Manipulation under Uncertainty
Shivansh Pratap Singh, Samaksh Ujjwal, Ishita Chaudhary +3
Aerial manipulators enable physical interaction in hard-to-reach environments; however, the combined problem of direct whole-body aerial manipulation under rapid arm motion, payloa…
AERMANI-PLACE: Language Guided Object Placement with Aerial Manipulators
Sarthak Mishra, Ritama Sanyal, Rishabh Dev Yadav +2
Object placement is a fundamental component of aerial manipulation tasks, yet existing systems typically require the desired placement position to be specified explicitly in metric…
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, Shivansh Pratap Singh +4
Accurate dynamics modeling of aerial manipulators is challenging because platform--manipulator coupling, history-dependent interactions, and changing payload or manipulator configu…
AeroGrab: A Unified Framework for Aerial Grasping in Cluttered Environments
Shivansh Pratap Singh, Naveen Sudheer Nair, Samaksh Ujjawal +4
Reliable aerial grasping in cluttered environments remains challenging due to occlusions and collision risks. Existing aerial manipulation pipelines largely rely on centroid-based…
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…
AeroPlace-Flow: Language-Grounded Object Placement for Aerial Manipulators via Visual Foresight and Object Flow
Sarthak Mishra, Rishabh Dev Yadav, Naveen Nair +2
Precise object placement remains underexplored in aerial manipulation, where most systems rely on predefined target coordinates and focus primarily on grasping and control. Specify…
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-Diffusion: Regime-Conditioned Diffusion for Dynamics Learning in Aerial Manipulators
Samaksh Ujjawal, Shivansh Pratap Singh, Naveen Sudheer Nair +3
Aerial manipulators undergo rapid, configuration-dependent changes in inertial coupling forces and aerodynamic forces, making accurate dynamics modeling a core challenge for reliab…
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…
Adaptive Lattice-based Motion Planning
Abhishek Dhar, Sarthak Mishra, Spandan Roy +1
This paper proposes an adaptive lattice-based motion planning solution to address the problem of generating feasible trajectories for systems, represented by a linearly parameteriz…
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…
Modular Adaptive Aerial Manipulation under Unknown Dynamic Coupling Forces
Rishabh Dev Yadav, Swati Dantu, Wei Pan +3
Successful aerial manipulation largely depends on how effectively a controller can tackle the coupling dynamic forces between the aerial vehicle and the manipulator. However, this…
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…
Adaptive Control of Euler-Lagrange Systems under Time-varying State Constraints without a Priori Bounded Uncertainty
Viswa Narayanan Sankaranarayanan, Sumeet Gajanan Satpute, Spandan Roy +1
In this article, a novel adaptive controller is designed for Euler-Lagrangian systems under predefined time-varying state constraints. The proposed controller could achieve this ob…
Artificial Delay Based ARC of a Class of Uncertain EL Systems with Only Position Feedback
Spandan Roy, Indra Narayan Kar, Jinoh Lee +2
In this paper, the tracking control problem of an Euler-Lagrange system is addressed with regard to parametric uncertainties, and an adaptive-robust control strategy, christened Ti…
Theory and Application on Adaptive-Robust Control of Euler-Lagrange Systems with Linearly Parametrizable Uncertainty Bound
Spandan Roy, Sayan Basu Roy, Indra Narayan Kar
This work proposes a new adaptive-robust control (ARC) architecture for a class of uncertain Euler-Lagrange (EL) systems where the upper bound of the uncertainty satisfies linear i…
Adaptive-Robust Control of a Class of Nonlinear Systems with Unknown Input Delay
Spandan Roy, Indra Narayan Kar
In this paper, the tracking control problem of a class of uncertain Euler-Lagrange systems subjected to unknown input delay and bounded disturbances is addressed. To this front, a…
Adaptive-Robust Control of a Class of Uncertain Nonlinear Systems Utilizing Time-Delayed Input and Position Feedback
Spandan Roy, Indra Narayan Kar
In this paper, the tracking control problem of a class of Euler-Lagrange systems subjected to unknown uncertainties is addressed and an adaptive-robust control strategy, christened…