activity
20172026
most citedpomdp_py: A Framework to Build and Solve POMDP Problems

13 citations · 26 across the 8 of their papers we have counts for

collaborators

10 papers

cs.RO2026

Bicycle Acrobatics with Reinforcement Learning

Shamel Fahmi, Arianna Ilvonen, Samuel Zapolsky +8

Bicycle robots are fast and energy efficient, but their simple mechanical design and their underactuated and non-holonomic dynamics make highly agile maneuvers difficult to achieve…

cs.RO2026

System Design of the Ultra Mobility Vehicle: A Driving, Balancing, and Jumping Bicycle Robot

Benjamin Bokser, Daniel Gonzalez, Aaron Preston +39

Trials cyclists and mountain bike riders can hop, jump, balance, and drive on one or both wheels. This versatility allows them to achieve speed and energy-efficiency on smooth terr…

cs.RO2023

A System for Generalized 3D Multi-Object Search

Kaiyu Zheng, Anirudha Paul, Stefanie Tellex

Searching for objects is a fundamental skill for robots. As such, we expect object search to eventually become an off-the-shelf capability for robots, similar to e.g., object detec…

cs.RO2022

Hierarchical Reinforcement Learning of Locomotion Policies in Response to Approaching Objects: A Preliminary Study

Shangqun Yu, Sreehari Rammohan, Kaiyu Zheng +1

Animals such as rabbits and birds can instantly generate locomotion behavior in reaction to a dynamic, approaching object, such as a person or a rock, despite having possibly never…

cs.RO20211 cited

Dialogue Object Search

Monica Roy, Kaiyu Zheng, Jason Liu +1

We envision robots that can collaborate and communicate seamlessly with humans. It is necessary for such robots to decide both what to say and how to act, while interacting with hu…

cs.RO2020

Spatial Language Understanding for Object Search in Partially Observed City-scale Environments

Kaiyu Zheng, Deniz Bayazit, Rebecca Mathew +2

Humans use spatial language to naturally describe object locations and their relations. Interpreting spatial language not only adds a perceptual modality for robots, but also reduc…