activity
20182023
most citedSOCIALGYM 2.0: Simulator for Multi-Agent Social Robot Navigation in Shared Human Spaces

3 citations · 9 across the 7 of their papers we have counts for

collaborators

8 papers

cs.RO2023★ 3 cited

SOCIALGYM 2.0: Simulator for Multi-Agent Social Robot Navigation in Shared Human Spaces

Zayne Sprague, Rohan Chandra, Jarrett Holtz +1

We present SocialGym 2, a multi-agent navigation simulator for social robot research. Our simulator models multiple autonomous agents, replicating real-world dynamics in complex en…

cs.RO2023★ 2 cited

Programmatic Imitation Learning from Unlabeled and Noisy Demonstrations

Jimmy Xin, Linus Zheng, Kia Rahmani +4

Imitation Learning (IL) is a promising paradigm for teaching robots to perform novel tasks using demonstrations. Most existing approaches for IL utilize neural networks (NN), howev…

cs.RO2022

STEADY: Simultaneous State Estimation and Dynamics Learning from Indirect Observations

Jiayi Wei, Jarrett Holtz, Isil Dillig +1

Accurate kinodynamic models play a crucial role in many robotics applications such as off-road navigation and high-speed driving. Many state-of-the-art approaches in learning stoch…

cs.RO2021★ 1 cited

SOCIALGYM: A Framework for Benchmarking Social Robot Navigation

Jarrett Holtz, Joydeep Biswas

Robots moving safely and in a socially compliant manner in dynamic human environments is an essential benchmark for long-term robot autonomy. However, it is not feasible to learn a…

cs.RO2021

Iterative Program Synthesis for Adaptable Social Navigation

Jarrett Holtz, Simon Andrews, Arjun Guha +1

Robot social navigation is influenced by human preferences and environment-specific scenarios such as elevators and doors, thus necessitating end-user adaptability. State-of-the-ar…

cs.AI2020★ 3 cited

Robot Action Selection Learning via Layered Dimension Informed Program Synthesis

Jarrett Holtz, Arjun Guha, Joydeep Biswas

Action selection policies (ASPs), used to compose low-level robot skills into complex high-level tasks are commonly represented as neural networks (NNs) in the state of the art. Su…

cs.RO2020

SMT-based Robot Transition Repair

Jarrett Holtz, Arjun Guha, Joydeep Biswas

State machines are a common model for robot behaviors. Transition functions often rely on parameterized conditions to model preconditions for the controllers, where the correct val…

cs.RO2018

Interactive Robot Transition Repair With SMT

Jarrett Holtz, Arjun Guha, Joydeep Biswas

Complex robot behaviors are often structured as state machines, where states encapsulate actions and a transition function switches between states. Since transitions depend on phys…