activity
20182021
most citedTool Substitution with Shape and Material Reasoning Using Dual Neural Networks

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

collaborators

6 papers

cs.RO2021

Towards Robust One-shot Task Execution using Knowledge Graph Embeddings

Angel Daruna, Lakshmi Nair, Weiyu Liu +1

Requiring multiple demonstrations of a task plan presents a burden to end-users of robots. However, robustly executing tasks plans from a single end-user demonstration is an ongoin…

cs.RO20204 cited

Tool Macgyvering: A Novel Framework for Combining Tool Substitution and Construction

Lakshmi Nair, Nithin Shrivatsav, Sonia Chernova

Macgyvering refers to solving problems inventively by using whatever objects are available at hand. Tool Macgyvering is a subset of macgyvering tasks involving a missing tool that…

cs.RO2020

Feature Guided Search for Creative Problem Solving Through Tool Construction

Lakshmi Nair, Sonia Chernova

Robots in the real world should be able to adapt to unforeseen circumstances. Particularly in the context of tool use, robots may not have access to the tools they need for complet…

cs.RO20198 cited

Tool Substitution with Shape and Material Reasoning Using Dual Neural Networks

Nithin Shrivatsav, Lakshmi Nair, Sonia Chernova

This paper explores the problem of tool substitution, namely, identifying substitute tools for performing a task from a given set of candidate tools. We introduce a novel approach…

cs.RO2019

Tool Macgyvering: Tool Construction Using Geometric Reasoning

Lakshmi Nair, Jonathan Balloch, Sonia Chernova

MacGyvering is defined as creating or repairing something in an inventive or improvised way by utilizing objects that are available at hand. In this paper, we explore a subset of M…

cs.AI2018

Action Categorization for Computationally Improved Task Learning and Planning

Lakshmi Nair, Sonia Chernova

This paper explores the problem of task learning and planning, contributing the Action-Category Representation (ACR) to improve computational performance of both Planning and Reinf…