Student Talks
Calendar of Events
S Sun
M Mon
T Tue
W Wed
T Thu
F Fri
S Sat
0 events,
0 events,
1 event,
PhD Thesis Defense
Paul Nadan
Mass-Constrained Robotic Climbing on Irregular Terrain
Abstract: Climbing robots can operate in steep and unstructured environments that are inaccessible to other ground robots, with applications ranging from the inspection of artificial structures on Earth to the exploration of natural terrain features throughout the solar system. Climbing robots for planetary exploration face many challenges to deployment, including mass restrictions, irregular surface features, […]
0 events,
0 events,
1 event,
PhD Thesis Proposal
Samuel Triest
Towards Annotation-Free Visual-Geometric Representations and Learning for Navigation in Unstructured Environments
Abstract: Navigation in unstructured environments is a capability critical to many robotics applications such as forestry, construction, disaster response and defense. In these domains, robots have the potential to eliminate much of the dull, dirty and/or dangerous work that is currently performed by humans. Unfortunately, these environments pose a unique set of challenges for navigation […]
0 events,
0 events,
0 events,
0 events,
0 events,
0 events,
0 events,
0 events,
0 events,
0 events,
1 event,
MSR Thesis Defense
Eliot Xing
Stabilizing Reinforcement Learning in Differentiable Multiphysics Simulation
Abstract: Recent advances in GPU-based parallel simulation have enabled practitioners to collect large amounts of data and train complex control policies using deep reinforcement learning (RL), on commodity GPUs. However, such successes for RL in robotics have been limited to tasks sufficiently simulated by fast rigid-body dynamics. Simulation techniques for soft bodies are comparatively several […]
0 events,
0 events,
0 events,
0 events,
0 events,
0 events,
0 events,
1 event,
PhD Thesis Defense
Brady Moon
Informative Path Planning Toward Autonomous Real-World Applications
Abstract: Gathering information from the physical world is critical for applications such as scientific research, environmental monitoring, search and rescue, defense, and disaster response. Autonomous robots provide significant advantages for information gathering, particularly in situations where human access is constrained, hazardous, or impractical. By leveraging intelligent algorithms, these robots can efficiently collect data, enhancing decision-making [...]
0 events,
1 event,
PhD Speaking Qualifier
Kensuke Nakamura
Robot Safety Beyond Collision-Avoidance
Abstract: It is common to equate robot safety with “collision avoidance”, but in unstructured open-world environments, a robot’s representation of safety should be much more nuanced. For example, the household manipulator should understand that pouring coffee too fast will cause the liquid to overflow or pulling a mug too quickly from a cupboard will cause [...]