activity
20182020
most citedNon-asymptotic Error Bounds For Constant Stepsize Stochastic Approximation For Tracking Mobile Agents

7 citations · 7 across the 1 of their papers we have counts for

collaborators

5 papers

cs.RO2020

Learning to Play Cup-and-Ball with Noisy Camera Observations

Monimoy Bujarbaruah, Tony Zheng, Akhil Shetty +2

Playing the cup-and-ball game is an intriguing task for robotics research since it abstracts important problem characteristics including system nonlinearity, contact forces and pre…

cs.RO2020

Safety Challenges for Autonomous Vehicles in the Absence of Connectivity

Akhil Shetty, Mengqiao Yu, Alex Kurzhanskiy +3

Autonomous vehicles (AVs) are promoted as a technology that will create a future with effortless driving and virtually no traffic accidents. AV companies claim that, when fully dev…

eess.SY2019

Learning Robustness with Bounded Failure: An Iterative MPC Approach

Monimoy Bujarbaruah, Akhil Shetty, Kameshwar Poolla +1

We propose an approach to design a Model Predictive Controller (MPC) for constrained Linear Time Invariant systems performing an iterative task. The system is subject to an additiv…

math.OC2019

Optimal Resource Procurement and the Price of Causality

Sen Li, Akhil Shetty, Kameshwar Poolla +1

This paper studies the problem of procuring diverse resources in a forward market to cover a set of uncertain demand signals . We consider two scenarios: (a) $\bf{…

eess.SP2018★ 7 cited

Non-asymptotic Error Bounds For Constant Stepsize Stochastic Approximation For Tracking Mobile Agents

Bhumesh Kumar, Vivek Borkar, Akhil Shetty

This work revisits the constant stepsize stochastic approximation algorithm for tracking a slowly moving target and obtains a bound for the tracking error that is valid for the ent…