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20212026
most citedSearch-Based Task Planning with Learned Skill Effect Models for Lifelong Robotic Manipulation

4 citations · 4 across the 16 of their papers we have counts for

collaborators

20 papers

math.AG2026

Tangent bundles of Quot schemes of vector bundles on curves

Ashima Bansal, Supravat Sarkar, Shivam Vats

For a vector bundle on a smooth projective curve , one defines the Quot scheme parametrizing subsheaves of having length torsion quotients. We describe…

math.AG2026

Torelli theorems for Quot schemes of vector bundles on curves

Ashima Bansal, Supravat Sarkar, Shivam Vats

For a vector bundle on a smooth projective curve , one defines the Quot scheme parametrizing subsheaves of having length torsion quotients. If is a…

cs.RO2026

Deliberate Practice: Learning Robot Skills under a Budget

Shivam Vats, Sudarshan Harithas, Mete Tuluhan Akbulut +2

We consider the problem of autonomously learning robot skills under a limited practice budget for sequential tasks. We propose an active skill learning algorithm, \emph{Deliberate…

math.AG2026

Positive Cones of Parabolic Grassmann Bundle over a curve

Ashima Bansal, Shivam Vats

In this article, we define the parabolic Grassmann bundle associated to a parabolic vector bundle over a smooth projective variety, generalizing the construction of parabolic proje…

cs.RO2026

When Life Gives You BC, Make Q-functions: Extracting Q-values from Behavior Cloning for On-Robot Reinforcement Learning

Lakshita Dodeja, Ondrej Biza, Shivam Vats +5

Behavior Cloning (BC) has emerged as a highly effective paradigm for robot learning. However, BC lacks a self-guided mechanism for online improvement after demonstrations have been…

cs.RO2026

Creative Robot Tool Use by Counterfactual Reasoning

M. Tuluhan Akbulut, Varun Satheesh, Ahmed Jaafar +5

We propose a causal reasoning framework for creative robot tool use where a suitable tool for a task is correctly identified for use beyond its primary objectives. The proposed fra…

math.AG2026

Singularity of cubic hypersurfaces and hyperplane sections of projectivized tangent bundle of projective space

Ashima Bansal, Supravat Sarkar, Shivam Vats

We show that the normal points of a cubic hypersurface in projective space have canonical singularities unless the hypersurface is an iterated cone over an elliptic curve. As an ap…

math.AG2025

Automorphisms of punctual Hilbert schemes and symmetric powers of varieties

Ashima Bansal, Supravat Sarkar, Shivam Vats

We classify complex smooth projective surfaces whose punctual Hilbert scheme has a non-natural automorphism preserving the big diagonal. This completely answers a question raised b…

math.AG2025

Isomorphisms and automorphisms of multiprojective bundles and symmetric powers of projective bundles

Ashima Bansal, Supravat Sarkar, Shivam Vats

We describe when two multiprojective bundles (fibre products of projective bundles over the same base) over projective spaces are isomorphic as abstract varieties. We also describe…

math.AG2025

Symmetric power of higher dimensional varieties

Ashima Bansal, Supravat Sarkar, Shivam Vats

We study several properties of the symmetric power of a smooth variety . We describe the Picard and divisor class groups of when is projective. We give a compl…

cs.LG2025

Accelerating Residual Reinforcement Learning with Uncertainty Estimation

Lakshita Dodeja, Karl Schmeckpeper, Shivam Vats +4

Residual Reinforcement Learning (RL) is a popular approach for adapting pretrained policies by learning a lightweight residual policy that provides corrective actions. While Residu…

cs.RO2025

Optimal Interactive Learning on the Job via Facility Location Planning

Shivam Vats, Michelle Zhao, Patrick Callaghan +4

Collaborative robots must continually adapt to novel tasks and user preferences without overburdening the user. While prior interactive robot learning methods aim to reduce human e…

cs.RO2024

RecoveryChaining: Learning Local Recovery Policies for Robust Manipulation

Shivam Vats, Devesh K. Jha, Maxim Likhachev +2

Model-based planners and controllers are commonly used to solve complex manipulation problems as they can efficiently optimize diverse objectives and generalize to long horizon tas…

cs.RO2024

Multi-Robot Motion Planning with Diffusion Models

Yorai Shaoul, Itamar Mishani, Shivam Vats +2

Diffusion models have recently been successfully applied to a wide range of robotics applications for learning complex multi-modal behaviors from data. However, prior works have mo…

math.AG2024

Extremal Contraction of Projective Bundles

Ashima Bansal, Supravat Sarkar, Shivam Vats

In this article, we explore the extremal contractions of several projective bundles over smooth Fano varieties of Picard rank . We provide a whole class of examples of projectiv…

math.AG2023

Correspondence between Projective bundles over and rational Hypersurfaces in

Shivam Vats

Let E be the restriction of the null-correlation bundle on to a hyperplane. In this article, we show that the projective bundle is isomorphic to a…

math.AG2023

Isomorphism of Multiprojective Bundles and Projective Towers

Ashima Bansal, Supravat Sarkar, Shivam Vats

We study when two projective bundles over two arbitrary smooth projective varieties of different dimensions can be isomorphic. We show that two multi-projective bundles (fibre prod…

cs.RO2022

Efficient Recovery Learning using Model Predictive Meta-Reasoning

Shivam Vats, Maxim Likhachev, Oliver Kroemer

Operating under real world conditions is challenging due to the possibility of a wide range of failures induced by execution errors and state uncertainty. In relatively benign sett…

cs.RO2022

Synergistic Scheduling of Learning and Allocation of Tasks in Human-Robot Teams

Shivam Vats, Oliver Kroemer, Maxim Likhachev

We consider the problem of completing a set of tasks with a human-robot team using minimum effort. In many domains, teaching a robot to be fully autonomous can be counterproduc…

cs.RO2021★ 4 cited

Search-Based Task Planning with Learned Skill Effect Models for Lifelong Robotic Manipulation

Jacky Liang, Mohit Sharma, Alex LaGrassa +3

Robots deployed in many real-world settings need to be able to acquire new skills and solve new tasks over time. Prior works on planning with skills often make assumptions on the s…