Faculty Events

RI Faculty Business Meeting

Newell-Simon Hall 4305

Meeting for RI Faculty. Discussions include various department topics, policies, and procedures. Generally meets weekly.

Faculty Events
Assistant Professor
Robotics Institute,
Carnegie Mellon University

Robot Learning, Wearable Sensing, and Teleoperation in Pursuit of Robotic Caregivers

Abstract Designing safe and reliable robotic assistance for caregiving is a grand challenge in robotics. A sixth of the United States population is over the age of 65 and in 2014 more than a quarter of the population had a disability. Robotic caregivers could positively benefit society; yet, physical robotic assistance presents several challenges and [...]

PhD Thesis Proposal
PhD Student
Robotics Institute,
Carnegie Mellon University

Personalized Context-aware Affective Nonverbal Robot Feedback

NSH 1305

Abstract:  We first consider the problem of estimating context, specifically key features of the human state. We predict engagement-related events in an educational activity before the end of that activity, which could allow the robot to provide feedback early enough to improve the human's experience. We then explore generating nonverbal affective robot behavior by correlating [...]

Faculty Events

RI Faculty Business Meeting

Newell-Simon Hall 4305

Meeting for RI Faculty. Discussions include various department topics, policies, and procedures. Generally meets weekly.

PhD Thesis Defense
PhD Student
Robotics Institute,
Carnegie Mellon University

Redefining the Perception-Action Interface: Visual Action Representations for Contact-Centric Manipulation

GHC 6501

Abstract:  In robotics, understanding the link between perception and action is pivotal. Typically, perception systems process sensory data into state representations like  segmentations and bounding boxes, which a planner uses to plan actions. However, this state estimation approach can fail in environments with partial observability, and in cases with challenging object properties like transparency and deformability.  [...]

Special Events

RI Picnic

Schenley Park Vietnam Veteran's Pavilion , United States

The RI Picnic will be held at the Vietnam Veteran's Pavilion @ Schenley Park on Overlook Drive, Tuesday, August 29, 1-7pm. SOCIALIZE, EAT, DRINK & BE MERRY! Receive this year's RI giveaway item; witness the exciting final rounds of the annual RI croquet tournament; enjoy lawn games right at our own pavilion area. Plan to spend some time at the [...]

RI Event
PhD Student
Robotics Institute,
Carnegie Mellon University

Continual Robot Learning: Benchmarks and Modular Methods

GHC 6501

Abstract: Humans adapt continuously to the world around us, allowing us to acquire new skills and explore diverse environments seamlessly. Current AI methods, however, cannot attain this versatility. Instead, they are typically trained with vast datasets, and learn all tasks simultaneously. However, the trained models have limited ability to adapt to changing contexts, and are [...]

MSR Thesis Defense
PhD Student
Robotics Institute,
Carnegie Mellon University

Architecture and Algorithms for Space-Based Global Wildlife Tracking

GHC 6501

Abstract: Accurate satellite based positioning revolutionized several industries over the past two decades from agriculture to transportation. However, conventional GNSS receivers consume significant amounts of energy and are too large for many applications, including wildlife-tracking which is critical for conservation efforts and improving our understanding of the global climate. To address this capability gap, we [...]

PhD Thesis Defense
PhD Student
Robotics Institute,
Carnegie Mellon University

Multi-Human 3D Reconstruction from Monocular Videos

NSH 4305

Abstract: We study the problem of multi-human 3D reconstruction from videos captured in the wild. Human movements are dynamic, and accurately reconstructing them in various settings is crucial for developing immersive social telepresence, assistive humanoid robots, and augmented reality systems. However, creating such a system requires addressing fundamental issues with previous works regarding the data [...]