10 citations · 22 across the 10 of their papers we have counts for
10 papers
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…
Improvement of Optimization using Learning Based Models in Mixed Integer Linear Programming Tasks
Xiaoke Wang, Batuhan Altundas, Zhaoxin Li +2
Mixed Integer Linear Programs (MILPs) are essential tools for solving planning and scheduling problems across critical industries such as construction, manufacturing, and logistics…
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…
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…
Learning Dynamics of a Ball with Differentiable Factor Graph and Roto-Translational Invariant Representations
Qingyu Xiao, Zixuan Wu, Matthew Gombolay
Robots in dynamic environments need fast, accurate models of how objects move in their environments to support agile planning. In sports such as ping pong, analytical models often…
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…
Faster Model Predictive Control via Self-Supervised Initialization Learning
Zhaoxin Li, Xiaoke Wang, Letian Chen +3
Model Predictive Control (MPC) is widely used in robot control by optimizing a sequence of control outputs over a finite-horizon. Computational approaches for MPC include determini…
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…
CrossLoco: Human Motion Driven Control of Legged Robots via Guided Unsupervised Reinforcement Learning
Tianyu Li, Hyunyoung Jung, Matthew Gombolay +2
Human motion driven control (HMDC) is an effective approach for generating natural and compelling robot motions while preserving high-level semantics. However, establishing the cor…
A Generalized Robotic Handwriting Learning System based on Dynamic Movement Primitives (DMPs)
Qian Luo, Jing Wu, Matthew Gombolay
Learning from demonstration (LfD) is a powerful learning method to enable a robot to infer how to perform a task given one or more human demonstrations of the desired task. By lear…