activity
20202026
most citedUnified Learning from Demonstrations, Corrections, and Preferences during Physical Human-Robot Interaction

2 citations · 12 across the 15 of their papers we have counts for

collaborators

16 papers

cs.RO2026

Feeling Through the Load: Compliant Quadruped Locomotion under Payload Interactions

Shaunak A. Mehta, Mayank Mishra, Prajit KrisshnaKumar +2

Quadruped robots are increasingly expected to carry objects while moving through human environments. But what happens when a person interacts directly with the payload rather than…

cs.AI2026

When Reasoning Traces Become Performative: Step-Level Evidence that Chain-of-Thought Is an Imperfect Oversight Channel

Wenkai Li, Fan Yang, Ananya Hazarika +2

Chain-of-thought (CoT) traces are increasingly used both to improve language model capability and to audit model behavior, implicitly assuming that the visible trace remains synchr…

cs.AI2026

Persona Non Grata: Single-Method Safety Evaluation Is Incomplete for Persona-Imbued LLMs

Wenkai Li, Fan Yang, Shaunak A. Mehta +1

Personality imbuing customizes LLM behavior, but safety evaluations almost always study prompt-based personas alone. We show this is incomplete: prompting and activation steering e…

cs.RO2026

IndoorR2X: Indoor Robot-to-Everything Coordination with LLM-Driven Planning

Fan Yang, Soumya Teotia, Shaunak A. Mehta +8

Although robot-to-robot (R2R) communication improves indoor scene understanding beyond what a single robot can achieve, R2R alone cannot overcome partial observability without subs…

cs.RO2025

Combining Performance and Passivity in Linear Control of Series Elastic Actuators

Shaunak A. Mehta, Dylan P. Losey

When humans physically interact with robots, we need the robots to be both safe and performant. Series elastic actuators (SEAs) fundamentally advance safety by introducing complian…

cs.RO2025

L2D2: Robot Learning from 2D Drawings

Shaunak A. Mehta, Heramb Nemlekar, Hari Sumant +1

Robots should learn new tasks from humans. But how do humans convey what they want the robot to do? Existing methods largely rely on humans physically guiding the robot arm through…

cs.RO2024

On the Feasibility of A Mixed-Method Approach for Solving Long Horizon Task-Oriented Dexterous Manipulation

Shaunak A. Mehta, Rana Soltani Zarrin

In-hand manipulation of tools using dexterous hands in real-world is an underexplored problem in the literature. In addition to more complex geometry and larger size of the tools c…

cs.RO2024★ 1 cited

Stable-BC: Controlling Covariate Shift with Stable Behavior Cloning

Shaunak A. Mehta, Yusuf Umut Ciftci, Balamurugan Ramachandran +2

Behavior cloning is a common imitation learning paradigm. Under behavior cloning the robot collects expert demonstrations, and then trains a policy to match the actions taken by th…

cs.RO2024★ 1 cited

Combining and Decoupling Rigid and Soft Grippers to Enhance Robotic Manipulation

Maya Keely, Yeunhee Kim, Shaunak A. Mehta +6

For robot arms to perform everyday tasks in unstructured environments, these robots must be able to manipulate a diverse range of objects. Today's robots often grasp objects with e…

cs.RO2024★ 1 cited

Waypoint-Based Reinforcement Learning for Robot Manipulation Tasks

Shaunak A. Mehta, Soheil Habibian, Dylan P. Losey

Robot arms should be able to learn new tasks. One framework here is reinforcement learning, where the robot is given a reward function that encodes the task, and the robot autonomo…

cs.RO2023★ 2 cited

StROL: Stabilized and Robust Online Learning from Humans

Shaunak A. Mehta, Forrest Meng, Andrea Bajcsy +1

Robots often need to learn the human's reward function online, during the current interaction. This real-time learning requires fast but approximate learning rules: when the human'…

cs.RO2022★ 1 cited

RISO: Combining Rigid Grippers with Soft Switchable Adhesives

Shaunak A. Mehta, Yeunhee Kim, Joshua Hoegerman +2

Robot arms that assist humans should be able to pick up, move, and release everyday objects. Today's assistive robot arms use rigid grippers to pinch items between fingers; while t…

cs.RO2022★ 2 cited

Unified Learning from Demonstrations, Corrections, and Preferences during Physical Human-Robot Interaction

Shaunak A. Mehta, Dylan P. Losey

Humans can leverage physical interaction to teach robot arms. This physical interaction takes multiple forms depending on the task, the user, and what the robot has learned so far.…

cs.RO2022★ 2 cited

SARI: Shared Autonomy across Repeated Interaction

Ananth Jonnavittula, Shaunak A. Mehta, Dylan P. Losey

Assistive robot arms try to help their users perform everyday tasks. One way robots can provide this assistance is shared autonomy. Within shared autonomy, both the human and robot…

cs.RO2021

Learning Latent Actions without Human Demonstrations

Shaunak A. Mehta, Sagar Parekh, Dylan P. Losey

We can make it easier for disabled users to control assistive robots by mapping the user's low-dimensional joystick inputs to high-dimensional, complex actions. Prior works learn t…

cs.RO2020★ 2 cited

Student Mixture Model Based Visual Servoing

Mithun. P, Shaunak A. Mehta, Suril V. Shah +2

Classical Image-Based Visual Servoing (IBVS) makes use of geometric image features like point, straight line and image moments to control a robotic system. Robust extraction and re…