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From the 2 of 8 linked papers with an AI index.

collaborators

8 papers

cs.RO2026

Learning Physics-Guided Residual Dynamics for Deformable Object Simulation

Shivansh Patel, Kaifeng Zhang, Sanjay Pokkali +2

The paper introduces Physics-Guided Residual Dynamics (PGRD), a hybrid framework that augments a spring‑mass physics simulator with a neural network predicting residual corrections…

cs.RO2026

Generalizable VLA Finetuning via Representation Anchoring and Language-Action Alignment

Dwip Dalal, Shivansh Patel, Chahit Jain +7

The paper introduces Anchor-Align, a method that adds representation anchoring and language-action alignment to behavior‑cloning finetuning of vision‑language models for robot mani…

cs.RO2026

CRAFT: A Tendon-Driven Hand with Hybrid Hard-Soft Compliance

Leo Lin, Shivansh Patel, Jay Moon +2

We introduce CRAFT hand, a tendon-driven anthropomorphic hand with hybrid hard-soft compliance for contact-rich manipulation. The design is based on a simple idea: contact is not u…

cs.RO2026

Robotic Manipulation by Imitating Generated Videos Without Physical Demonstrations

Shivansh Patel, Shraddhaa Mohan, Hanlin Mai +3

This work introduces Robots Imitating Generated Videos (RIGVid), a system that enables robots to perform complex manipulation tasks--such as pouring, wiping, and mixing--purely by…

cs.CV2026

Constructive Distortion: Improving MLLMs with Attention-Guided Image Warping

Dwip Dalal, Gautam Vashishtha, Utkarsh Mishra +6

Multimodal large language models (MLLMs) often miss small details and spatial relations in cluttered scenes, leading to errors in fine-grained perceptual grounding. We introduce At…

cs.CV2026

ZipLoRA: Any Subject in Any Style by Effectively Merging LoRAs

Viraj Shah, Nataniel Ruiz, Forrester Cole +4

Methods for finetuning generative models for concept-driven personalization generally achieve strong results for subject-driven or style-driven generation. Recently, low-rank adapt…