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MEAM PhD Thesis Defense: “Design of Proprioceptive Legged Robots”

It has been twenty years since the advent of the first power-autonomous legged robots, yet they have still not yet been deployed at scale. One fundamental challenge in legged machines is that actuators must perform work at relatively high speed in swing but also at high torque in stance. Legged machines must also be able […]

MEAM PhD Thesis Defense: “Modular Robots Morphology Transformation and Task Execution”

Self-reconfigurable modular robots are composed of a small set of modules with uniform docking interfaces. Different from conventional robots that are custom-built and optimized for specific tasks, modular robots are able to adapt to many different activities, and handle hardware and software failures by rearranging their components. This reconfiguration capability allows these systems to exist […]

MEAM Ph.D. Thesis Defense: “From Deployments of Elder Care Service Robots to the Design of Affordable Low-Complexity End-Effectors and Novel Manipulation Techniques”

Older adults are forming a much larger percentage of the population leading to a strain in the healthcare sector. It is expected that the population aged 65 and over in the United States alone will double in the next 30 years, and similarly worldwide. Despite the abundance of facilities to accommodate the growing older adult […]

MEAM Seminar: “A Methodology for Self-Replicating Robots from Ice”

In the late 1940s, John von Neumann first introduced the concept of self-replication as a way of furthering cellular reproduction research. By the late ‘50s and ’60s this research diverges along two separate paths: cellular automata replication with a focus on biological systems and robotics/machine replication. Generally the work in robotic systems focuses on the […]

MEAM Seminar: “Towards Manipulation of Large Objects by Robotic Edge Rolling with Quori, an Affordable Socially Interactive Humanoid Robot”

Hardware platforms for socially interactive robotics can be limited by cost or lack of functionality. In this talk I will present the overall system—design, hardware, and software—for Quori, a novel, affordable, socially interactive humanoid robot platform for facilitating non-contact human-robot interaction(HRI) research. The design of the system is motivated by feedback sampled from the HRI […]

May 2021 Robotics Master’s Thesis Presentations

9:30am – Welcome from Ani Hsieh 9:35am – Weiyu Du “Learning Human Affordance in the Wild” Advised by: Jianbo Shi 9:55am – Jie Min “Instance-aware imagesuper-resolution” Advised by: Jianbo Shi 10:15am – Shenghao Zhou “Image Synthesis with Latent Space Embedding” Advised by: Jianbo Shi 10:35am – Jun Wang “Model Based Robust SemanticSegmentation” Advised by: George […]

MEAM Seminar: “Design, Fabrication, and Control of Biologically Inspired Soft Robots”

Robotics has the potential to address many of today’s pressing problems in fields ranging from healthcare to manufacturing to disaster relief. However, the traditional approaches used on the factory floor do not perform well in unstructured environments. The key to solving many of these challenges is to explore new, non-traditional designs. Fortunately, nature surrounds us […]

Spring 2021 GRASP Seminar: “Propelling Robot Manipulation of Unknown Objects using Learned Object Centric Models”

Abstract: There is a growing interest in using data-driven methods to scale up manipulation capabilities of robots for handling a large variety of objects. Many of these methods are oblivious to the notion of objects and they learn monolithic policies from the whole scene in image space. As a result, they don’t generalize well to […]

GRASP On Robotics: “Perspectives on Machine Learning for Adaptive Robotic Systems”

Abstract: Recent advances in machine learning are leading to new tools for designing intelligent robots: functions relied on to govern a robot’s behavior can be learned from a robot’s interaction with its environment rather than hand-designed by an engineer. Many machine learning methods assume little prior knowledge and are extremely flexible, they can model almost […]

Spring 2021 GRASP SFI: “Robotic Caregivers—Sensing, Simulation, and Physical Human-Robot Interaction”

Abstract: Autonomous robots have the potential to serve as versatile caregivers that improve quality of life for millions of people with disabilities worldwide. Yet, physical robotic assistance presents several challenges, including risks associated with physical human-robot interaction, difficulty sensing the human body, and a lack of tools for benchmarking and training physically assistive robots. In […]

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