activity
20222026
most citedThe Effect of Robot Skill Level and Communication in Rapid, Proximate Human-Robot Collaboration

17 citations · 31 across the 9 of their papers we have counts for

collaborators

10 papers

cs.LG2026

Symmetry-Informed Causal Partial Identification

Uzair Akbar, Zulfiqar Zaidi, Niki Kilbertus +2

Partial identification (PI) entails estimating bounds on causal effects by encoding different assumptions on data generation as a constrained optimization problem. Such bounds can…

cs.RO2025

Whole Body Model Predictive Control for Spin-Aware Quadrupedal Table Tennis

David Nguyen, Zulfiqar Zaidi, Kevin Karol +2

Developing table tennis robots that mirror human speed, accuracy, and ability to predict and respond to the full range of ball spins remains a significant challenge for legged robo…

cs.LG2025

Constraints-of-Thought: A Framework for Constrained Reasoning in Language-Model-Guided Search

Kamel Alrashedy, Vriksha Srihari, Zulfiqar Zaidi +3

While researchers have made significant progress in enabling large language models (LLMs) to perform multi-step planning, LLMs struggle to ensure that those plans align with high-l…

cs.LG2024★ 3 cited

Generating CAD Code with Vision-Language Models for 3D Designs

Kamel Alrashedy, Pradyumna Tambwekar, Zulfiqar Zaidi +3

Generative AI has transformed the fields of Design and Manufacturing by providing efficient and automated methods for generating and modifying 3D objects. One approach involves usi…

cs.RO2024

Learning Wheelchair Tennis Navigation from Broadcast Videos with Domain Knowledge Transfer and Diffusion Motion Planning

Zixuan Wu, Zulfiqar Zaidi, Adithya Patil +2

In this paper, we propose a novel and generalizable zero-shot knowledge transfer framework that distills expert sports navigation strategies from web videos into robotic systems wi…

cs.RO2024

Learning Diverse Robot Striking Motions with Diffusion Models and Kinematically Constrained Gradient Guidance

Kin Man Lee, Sean Ye, Qingyu Xiao +5

Advances in robot learning have enabled robots to generate skills for a variety of tasks. Yet, robot learning is typically sample inefficient, struggles to learn from data sources…

cs.RO2024★ 10 cited

Multi-Camera Asynchronous Ball Localization and Trajectory Prediction with Factor Graphs and Human Poses

Qingyu Xiao, Zulfiqar Zaidi, Matthew Gombolay

The rapid and precise localization and prediction of a ball are critical for developing agile robots in ball sports, particularly in sports like tennis characterized by high-speed…

cs.RO2023★ 17 cited

The Effect of Robot Skill Level and Communication in Rapid, Proximate Human-Robot Collaboration

Kin Man Lee, Arjun Krishna, Zulfiqar Zaidi +5

As high-speed, agile robots become more commonplace, these robots will have the potential to better aid and collaborate with humans. However, due to the increased agility and funct…

cs.RO2022

Utilizing Human Feedback for Primitive Optimization in Wheelchair Tennis

Arjun Krishna, Zulfiqar Zaidi, Letian Chen +3

Agile robotics presents a difficult challenge with robots moving at high speeds requiring precise and low-latency sensing and control. Creating agile motion that accomplishes the t…

cs.RO2022★ 1 cited

Athletic Mobile Manipulator System for Robotic Wheelchair Tennis

Zulfiqar Zaidi, Daniel Martin, Nathaniel Belles +20

Athletics are a quintessential and universal expression of humanity. From French monks who in the 12th century invented jeu de paume, the precursor to modern lawn tennis, back to t…