Shreya Bollimuntha — accepted AI-conference papers

2025

DG16M: A Large-Scale Dataset for Dual-Arm Grasping with Force-Optimized Grasps

Md Faizal Karim, Mohammed Saad Hashmi, Shreya Bollimuntha, Mahesh Reddy Tapeti, Gaurav Singh, Nagamanikandan Govindan +1

IROS 2025

Dual-arm robotic grasping is crucial for handling large objects that require stable and coordinated manipulation. While single-arm grasping has been extensively studied, datasets tailored for dual-arm settings remain scarce. We introduce a large-scale dataset of 16 million dual-arm grasps, evaluated

Cited by 4 Source ↗code ↗Scholar ↗

2025

Da-Vil: Adaptive Dual-Arm Manipulation with Reinforcement Learning and Variable Impedance Control

Md Faizal Karim, Shreya Bollimuntha, Mohammed Saad Hashmi, Autrio Das, Gaurav Singh, Srinath Sridhar +3

ICRA 2025

Dual-arm manipulation is an area of growing interest in the robotics community. Enabling robots to perform tasks that require the coordinated use of two arms, is essential for complex manipulation tasks such as handling large objects, assembling components, and performing human-like interactions. Ho

Cited by 13 Source ↗code ↗Scholar ↗