Launched on November 4, 2013, the Institute for Robotics and Intelligent Machines (IRIM) evolved into Georgia Tech’s newest Interdisciplinary Research Institute (IRI), built upon the foundational work developed in the former Robotics & Intelligent Machines Center (RIM@Georgia Tech). IRIM brings together robotics researchers from across campus—spanning colleges, departments and individual labs—to create new collaborative opportunities for faculty, strengthen partnerships with industry and government and maximize the societal impact of the transformative robotics research conducted at Georgia Tech.

Sub-communities within this community

Recent Submissions

  • Conflict-Aware Risk-Averse and Safe Reinforcement Learning: A Meta-Cognitive Learning Framework 

    Modares, Hamidreza (Georgia Institute of Technology, 2021-04-14)
    While the success of reinforcement learning (RL) in computer games has shown impressive engineering feat, unlike the computer games, safety-critical settings such as unmanned vehicles must thrash around in the real world, ...
  • Towards Robust HRI: A Stochastic Optimization Approach 

    Nikolaidis, Stefanos (Georgia Institute of Technology, 2021-03-31)
    The growth of scale and complexity of interactions between humans and robots highlights the need for new computational methods to automatically evaluate novel algorithms and applications. Exploring the diverse scenarios ...
  • Institute for Robotics and Intelligent Machines (IRIM) Industry Day Panel - Career Options in Robotics 

    Burnstein, Jeff; Battles, Jon; Joppru, Mark; Balakirsky, Stephen (Georgia Institute of Technology, 2021-03-17)
    The robotics industry is one of the fastest growing industries in the world. The industry is rapidly changing as robotics have moved from the manufacturing floor into almost every segment of our lives. This seminar will ...
  • Career Options in Robotics: Academia vs Industry 

    Collins, Thomas R.; Coogan, Samuel; Dellaert, Frank; Mazumdar, Anirban; Parikh, Anup; Young, Aaron J. (Georgia Institute of Technology, 2021-02-17)
  • Robot Learning: Quo Vadis? 

    Peters, Jan (Georgia Institute of Technology, 2020-11-18)
    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 to create robots that ...
  • Reinforcement Learning: Leveraging Deep Learning for Control 

    Buhr, Craig (Georgia Institute of Technology, 2020-11-04)
    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 control methods can be ...
  • From Coexistence to Collaboration: Towards Reliable Collaborative Robots 

    Ravichandar, Harish (Georgia Institute of Technology, 2020-10-14)
    The field of robotics has made incredible progress over the past several decades. Indeed, we have built impressive robots capable of performing complex and intricate tasks in a variety of domains. Most modern robots, ...
  • Star Wars: The Rise of Robots and Intelligent Machines 

    Gombolay, Matthew C.; Mazumdar, Ellen Y. C.; Yaszek, Lisa; Young, Aaron J. (Georgia Institute of Technology, 2020-09-30)
    A long time ago, in a galaxy far far away, a space opera movie captured the imaginations of roboticists, researchers, and writers from around the world. Over the last 43 years, Star Wars has had an immense impact on our ...
  • Cost of Transport, the Correct Metric for Mobile Systems? 

    Mazumdar, Anirban; Rouse, Elliott; Sawicki, Gregory; Young, Aaron J.; Zhao, Ye (Georgia Institute of Technology, 2020-09-16)
    Energetic cost of locomotion is often the gold standard measures used in autonomous robotic walking for efficiency as well as humans augmented with lower limb wearable robotics. The panel will discuss the relative benefits ...
  • Navigation and Mapping for Robot Teams in Uncertain Environments 

    How, Jonathan P. (Georgia Institute of Technology, 2020-01-22)
    Our work addresses the planning, control, and mapping issues for autonomous robot teams that operate in challenging, partially observable, dynamic environments with limited field-of-view sensors. In such scenarios, individual ...
  • Learning from the Field: Physically-based Deep Learning to Advance Robot Vision in Natural Environments 

    Skinner, Katherine (Georgia Institute of Technology, 2020-01-08)
    Field robotics refers to the deployment of robots and autonomous systems in unstructured or dynamic environments across air, land, sea, and space. Robust sensing and perception can enable these systems to perform tasks ...
  • Toward Dynamic, Tactical, Remote Robotic Ops: Active Perception and Other Key Technologies 

    Buerger, Stephen (Georgia Institute of Technology, 2019-11-13)
    Dynamic, tactical, remote operations in which unmanned systems must manage multiple, changing objectives in uncertain, evolving and potentially adversarial environments, without the benefit of prior scripting, present an ...
  • Robophysics: Physics Meets Robotics 

    Goldman, Daniel I. (Georgia Institute of Technology, 2019-10-30)
    Robots will soon move from the factory floor and into our lives (e.g., autonomous cars, package delivery drones, and search-and-rescue devices). However, compared to living systems, robot capabilities in complex environments ...
  • Uniting Robots and Ultrasound for Cardiac Repair 

    Howe, Robert (Georgia Institute of Technology, 2019-10-09)
    Minimally invasive techniques have revolutionized many areas of surgery, but heart surgery has seen limited progress. We are working to combine ultrasound imaging and robotic manipulation to enable cardiac procedures that ...
  • Merging Humans and Machines to Assist Legged Locomotion 

    Ferris, Daniel (Georgia Institute of Technology, 2019-09-25)
    Robotic technologies have greatly advanced in recent years, enabling the creation of new wearable sensors and motorized devices. Robotic exoskeletons for human performance augmentation or neurological rehabilitation are ...
  • Improving Multi-Fingered Robot Manipulation by Unifying Learning and Planning 

    Hermans, Tucker (Georgia Institute of Technology, 2019-09-11)
    Multi-fingered hands offer autonomous robots increased dexterity, versatility, and stability over simple two-fingered grippers. Naturally, this increased ability comes with increased complexity in planning and executing ...
  • Considerations on Productivity, Performance and Ergonomics of Human-Centered Robots 

    Sentis, Luis (Georgia Institute of Technology, 2019-08-28)
    Human centered robots provide embodiments whose purpose is to increase human productivity and comfort in complex non-structured environments. On one hand, operating in such environments demands new embodiments that enhance ...
  • Deception, ExoNets, SmushWare, and Organic Data: New Frontiers In Neuro-Rehabilitation 

    Patton, James L. (Georgia Institute of Technology, 2019-04-24)
    Making use of visual display technology and human-robotic interfaces, many researchers have illustrated various opportunities to distort visual and physical realities. We have had success with interventions such as error ...
  • Safety of Autonomous Systems: Challenges in Coordination, Consistency, and Integration 

    Fleming, Cody (Georgia Institute of Technology, 2019-04-10)
    Recent issues with the Boeing 737-MAX point to challenges in software engineering and the algorithms that the software must implement. However, the 737-MAX is a microcosm of several other problems that continue to arise ...
  • Doing for Our Robots What Nature Did for Us 

    Kaelbling, Leslie (Georgia Institute of Technology, 2019-03-27)
    We, as robot engineers, have to think hard about our role in the design of robots and how it interacts with learning, both in “the factory” (that is, at engineering time) and in “the wild” (that is, when the robot is ...

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