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Talia Moore - A symbiotic philosophy for bio-inspired robotics

Humans have frequently looked to natural phenomena to inspire the design of art, structures, and mechanisms. However, there are as many different ways to learn from nature as there are words for this…

From  Katie Gentilello 13 plays 0  

Masayoshi Tomizuka - From State Space Control to Intelligent Machines: A Five-Decade Journey in Mechanical Systems Control

Masayoshi Tomizuka joined the Mechanical Engineering Department of UC Berkeley in 1974 after obtaining a PhD from MIT in the same year. It was an exciting time for someone in the field of dynamic…

From  Katie Gentilello 21 plays 0  

Oladayo Adewole - Living Electrodes: Developing Optogenetic Neuronal Networks for Circuit Modeling & Biological Neural Interfaces

From  Katie Gentilello 3 plays 0  

Blake Richards - Choose your tokens wisely: How to achieve good transfer learning on neural datasets

From  Katie Gentilello 1 plays 0  

Donald B. Katz - The Nonlinear Population Dynamics Underlying Taste Perception and Action

We study the neural ensemble dynamics of sensori-motor processes in awake rodents, combining behavior, multi-neuronal electrophysiology, complex analysis and modeling, pharmacology and optogenetics…

From  Katie Gentilello 1 plays 0  

Gordon Berman - Themes and Variations in Animal Behavior

The Berman lab uses theoretical, computational, and data-driven approaches to gain quantitative insight into entire repertoires of animal behaviors, aiming to make connections to the neurobiology,…

From  Katie Gentilello 2 plays 0  

Todd Murphey - Control Principles for Robot Learning

Embodied learning systems rely on motion synthesis to enable efficient and flexible learning during continuous online deployment. Motion motivated by learning needs can be found throughout natural…

From  Katie Gentilello 82 plays 0  

Feifei Qian - Robotic Locomotion and Sensing on Deformable Terrains

Achieving robust mobility on natural and deformable terrains is pivotal for robots to operate effectively in real-world scenarios. Despite remarkable progress in robotics hardware and software,…

From  Katie Gentilello 63 plays 0  

Kevin Lynch - Autonomous and Human-Collaborative Robotic Manipulation

Research at the Center for Robotics and Biosystems at Northwestern University includes bio-inspiration, neuromechanics, human-machine systems, and swarm robotics, among other topics. In this talk I…

From  Katie Gentilello 64 plays 0  

Michael Posa - Do We Really Need all that Data? Learning and Control for Contact-rich Manipulation

For all the promise of big-data machine learning, what will happen when robots deploy to our homes and workplaces and inevitably encounter new objects, new tasks, and new environments? If a solution…

From  Katie Gentilello 7 plays 0  

Bradley Dickerson - Functionally Stratified Encoding in a Biological Gyroscope

Flies are among nature’s most agile flying creatures. This exquisite maneuverability is due in part to their possession of specialized mechanosensory organs known as the halteres. The halteres…

From  Katie Gentilello 1 plays 0  

Koushil Sreenath - Dynamic Legged LocoManipulation: Balancing Reinforcement Learning with Model-Based Control

Model-based control methods such as control Lyapunov and control barrier functions can provide formal guarantees of stability and safety for dynamic legged locomotion, given a precise model of the…

From  Katie Gentilello 1 plays 0  

Yonggang Ke - Self-assembly of DNA-based nanomaterials and environmental remediation

A key challenge in nanotechnology is the precise fabrication of complex nanostructures and nanodevices. DNA nanotechnology has attracted significant attention due to its programmability and its…

From  Katie Gentilello 0 plays 0  

Shaloo Rakheja - An engineer’s perspective on antiferromagnetic spintronics

Antiferromagnets (AFM) materials have ordered spin moments that alternate between individual atomic sites, which gives them a vanishing macroscopic magnetic signature and picosecond intrinsic…

From  Katie Gentilello 2 plays 0  

Cameron McIntyre - Connectomic Deep Brain Stimulation

Deep brain stimulation (DBS) is an established clinical therapy for the treatment of movement disorders, and evolving to become a viable clinical option for the treatment of psychiatric disorders. In…

From  Steven Marzec 0 plays 0  

Chris Rodgers - Perception in Action: Neural Circuits for Active Auditory and Tactile Decision-making

How do we explore and learn about our world? In nature, animals do not passively await stimuli, as they typically must do in the laboratory. Instead, they actively seek out sensory…

From  Steven Marzec 0 plays 0