Search for tag: "irim robotics seminar series"

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 66 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 74 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  

Career Options in Robotics: Academia vs. Industry

Last semester, our panel discussed finding faculty positions in robotics.This semester, we continue that discussion and take a broader look atcareer options with a particular focus on academia vs…

From  Katie Gentilello 64 plays 0  

Jan Peters - Robot Skill Learning: Quo Vadis?

Autonomous robots that can assist humans in situations of daily life have been a long standing vision of robotics, artificial intelligence, and cognitive sciences. A first step towards this goal is…

From  Katie Gentilello 17 plays 0  

Craig Buhr - Reinforcement Learning: Leveraging Deep Learning for Controls

Reinforcement learning is getting a lot of attention lately. People are excited about its potential to solve complex problems in areas such as robotics and automated driving, where traditional…

From  Katie Gentilello 29 plays 0  

Physics-based Manipulation with and Around People - Siddhartha Srinivasa

Robots manipulate with super-human speed and dexterity on factory floors, but they fail even under moderate amounts of clutter or uncertainty. However, human teleoperators perform remarkable acts of…

From  Katie Gentilello 72 plays 0  

Developing Sensing and Robotics Technologies for Plant Phenomics - Changying "Charlie" Li

Feeding a world population of 9 billion people by 2050 amidst increasing climate variability is one of the greatest challenges facing humanity. The genomics revolution provides unprecedented power to…

From  Katie Gentilello 14 plays 0  

Stochastic Models in Robotics - Gregory Chirikjian

Many stochastic problems of interest in engineering and science involve random, rigid-body motions. In this talk, a variety of stochastic phenomena that evolve on the group of rigid-body motions will…

From  Katie Gentilello 135 plays 0  

Shared Control of Functional Electrical Stimulation and an Electric Motor in a Hybrid Neuroprosthesis - Nitin Sharma

Functional Electrical Stimulation (FES) can be used to artificially activate paralyzed lower limb muscles to restore walking and standing function in persons with neurological disorders. Despite its…

From  Katie Gentilello 56 plays 0  

Behind the Scenes: Decoding Intent from First Person Video - Hyun Soo Park

A first-person video records not only what is out in the environment but also what is in our head (intention and attention) at the time via social and physical interactions. It is invisible but it…

From  Katie Gentilello 22 plays 0  

Robust Agility and Safety for Dynamic Aerial Manipulation and Legged Locomotion - Koushil Sreenath

Biological systems are able to move with great elegance, agility, and efficiency in a wide range of environments. Endowing machines with similar capabilities requires designing controllers that can…

From  Katie Gentilello 37 plays 0  

Closing the Gap Between Machine Learning and Robotics - Byron Boots

Given a stream of multimodal sensory data, an autonomous robot must continuously refine its understanding of itself and its environment as it makes decisions on how to act to achieve a goal. These…

From  Katie Gentilello 117 plays 0  

Weakly Supervised Learning from Images and Video - Ivan Laptev

Recent progress in visual recognition goes hand-in-hand with the supervised learning and large-scale training data. While the number of existing images and videos is huge, their detailed annotation…

From  Katie Gentilello 27 plays 0  

Beyond Geometric Path Planning: Paradigms and Algorithms for Modern Robotics - Kris Hauser

The development of algorithms to quickly compute collision-free paths for high dimensional systems was a major achievement in the field of motion planning in the 2000s. Despite this progress, recent…

From  Katie Gentilello 70 plays 0  

Toward Robots that Understand People and Their Environment - Dieter Fox

To interact and collaborate with people in a natural way, robots must be able to recognize objects in their environments, accurately track the actions of humans, and estimate their goals and…

From  Katie Gentilello 80 plays 0