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ORCIDElaine Short
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2020 – today
- 2024
[c44]Reuben M. Aronson
, Elaine Schaertl Short:
Intentional User Adaptation to Shared Control Assistance. HRI 2024: 4-12- [c43]Jindan Huang, Reuben M. Aronson, Elaine Schaertl Short:
Modeling Variation in Human Feedback with User Inputs: An Exploratory Methodology. HRI 2024: 303-312 - [c42]Isaac S. Sheidlower, Mavis Murdock, Emma Bethel, Reuben M. Aronson, Elaine Schaertl Short:
Online Behavior Modification for Expressive User Control of RL-Trained Robots. HRI 2024: 639-648 - [c41]Katherine H. Allen, Reuben M. Aronson, Tapomayukh Bhattacharjee, Frank Broz, Mai Lee Chang, Maggie Collier, Taylor Kessler Faulkner, Hee Rin Lee, Isabel Neto, Katie Winkle, Elaine Schaertl Short:
Assistive Applications, Accessibility, and Disability Ethics in HRI. HRI (Companion) 2024: 1305-1307 - [c40]James Staley, Elaine Short, Shivam Goel, Yash Shukla:
Agent-Centric Human Demonstrations Train World Models. RLC 2024: 1873-1886 - [c39]Isaac S. Sheidlower, Emma Bethel, Douglas Lilly, Reuben M. Aronson, Elaine Schaertl Short:
Imagining In-distribution States: How Predictable Robot Behavior Can Enable User Control Over Learned Policies. RO-MAN 2024: 1308-1315 - [c38]Hayley Owens, Reuben M. Aronson, Elaine Schaertl Short:
The Limits of Robot Moderators: Evidence Against Robot Personalization and Participation Equalization in a Building Task. RO-MAN 2024: 1463-1470 - [c37]Hang Yu, Qidi Fang, Shijie Fang, Reuben M. Aronson, Elaine Schaertl Short:
How Much Progress Did I Make? An Unexplored Human Feedback Signal for Teaching Robots. RO-MAN 2024: 1739-1746 - [i14]Isaac S. Sheidlower, Emma Bethel, Douglas Lilly, Reuben M. Aronson, Elaine Schaertl Short:
Imagining In-distribution States: How Predictable Robot Behavior Can Enable User Control Over Learned Policies. CoRR abs/2406.13711 (2024) - [i13]Hang Yu, Qidi Fang, Shijie Fang, Reuben M. Aronson, Elaine Schaertl Short:
How Much Progress Did I Make? An Unexplored Human Feedback Signal for Teaching Robots. CoRR abs/2407.06459 (2024) - [i12]Isaac S. Sheidlower, Reuben M. Aronson, Elaine Schaertl Short:
Towards Interpretable Foundation Models of Robot Behavior: A Task Specific Policy Generation Approach. CoRR abs/2407.08065 (2024) - [i11]Reuben M. Aronson, Elaine Schaertl Short:
Control-Theoretic Analysis of Shared Control Systems. CoRR abs/2408.12103 (2024) - [i10]Isaac S. Sheidlower, Mavis Murdock, Emma Bethel, Reuben M. Aronson, Elaine Schaertl Short:
Online Behavior Modification for Expressive User Control of RL-Trained Robots. CoRR abs/2408.16776 (2024) - [i9]Jindan Huang, Isaac S. Sheidlower, Reuben M. Aronson, Elaine Schaertl Short:
On the Effect of Robot Errors on Human Teaching Dynamics. CoRR abs/2409.09827 (2024) - 2023
- [c36]Katherine H. Allen, Audrey K. Balaska, Reuben M. Aronson, Chris Rogers, Elaine Schaertl Short:
Barriers and Benefits: The Path to Accessible Makerspaces. ASSETS 2023: 7:1-7:14 - [c35]Hang Yu, Reuben M. Aronson, Katherine H. Allen, Elaine Schaertl Short:
From "Thumbs Up" to "10 out of 10": Reconsidering Scalar Feedback in Interactive Reinforcement Learning. IROS 2023: 4121-4128 - [i8]Hang Yu, Reuben M. Aronson, Katherine H. Allen, Elaine Schaertl Short:
From "Thumbs Up" to "10 out of 10": Reconsidering Scalar Feedback in Interactive Reinforcement Learning. CoRR abs/2311.10284 (2023) - [i7]Isaac S. Sheidlower, Reuben M. Aronson, Elaine Short:
Modifying RL Policies with Imagined Actions: How Predictable Policies Can Enable Users to Perform Novel Tasks. CoRR abs/2312.05991 (2023) - 2022
- [c34]Isaac S. Sheidlower, Elaine Schaertl Short, Allison Moore:
Environment Guided Interactive Reinforcement Learning: Learning from Binary Feedback in High-Dimensional Robot Task Environments. AAMAS 2022: 1726-1728 - [c33]Maartje de Graaf, Giulia Perugia, Eduard Fosch-Villaronga, Angelica Lim, Frank Broz, Elaine Schaertl Short, Mark A. Neerincx:
Inclusive HRI: Equity and Diversity in Design, Application, Methods, and Community. HRI 2022: 1247-1249 - [c32]Isaac S. Sheidlower, Allison Moore, Elaine Short:
Keeping Humans in the Loop: Teaching via Feedback in Continuous Action Space Environments. IROS 2022: 863-870 - 2021
- [c31]Akanksha Saran, Ruohan Zhang, Elaine Schaertl Short, Scott Niekum:
Efficiently Guiding Imitation Learning Agents with Human Gaze. AAMAS 2021: 1109-1117 - [c30]James Staley, Elaine Schaertl Short:
Contingency Detection in Multi-Agent Interactions. HRI (Companion) 2021: 225-228 - [c29]Andre Cleaver, Darren Vincent Tang, Victoria Chen, Elaine Schaertl Short, Jivko Sinapov:
Dynamic Path Visualization for Human-Robot Collaboration. HRI (Companion) 2021: 339-343 - [c28]Isaac S. Sheidlower, Elaine Schaertl Short:
When Oracles Go Wrong: Using Preferences as a Means to Explore. HRI (Companion) 2021: 344-348 - [c27]Hang Yu, Elaine Schaertl Short:
Active Feedback Learning with Rich Feedback. HRI (Companion) 2021: 430-433 - [c26]Shih-Yun Lo, Elaine Schaertl Short, Andrea Lockerd Thomaz:
Robust Planning with Emergent Human-like Behavior for Agents Traveling in Groups. ICRA 2021: 3744-3750 - 2020
- [j2]Adam Allevato, Elaine Schaertl Short, Mitch Pryor, Andrea Lockerd Thomaz:
Iterative residual tuning for system identification and sim-to-real robot learning. Auton. Robots 44(7): 1167-1182 (2020) - [c25]Shih-Yun Lo, Elaine Schaertl Short, Andrea Lockerd Thomaz:
Robust Following with Hidden Information in Travel Partners. AAMAS 2020: 1910-1912 - [c24]Shih-Yun Lo, Elaine Schaertl Short, Andrea Lockerd Thomaz:
Planning with Partner Uncertainty Modeling for Efficient Information Revealing in Teamwork. HRI 2020: 319-327 - [c23]Taylor A. Kessler Faulkner, Elaine Schaertl Short, Andrea Lockerd Thomaz:
Interactive Reinforcement Learning with Inaccurate Feedback. ICRA 2020: 7498-7504 - [c22]Mai Lee Chang, Taylor Kessler Faulkner, Thomas Benjamin Wei, Elaine Schaertl Short, Gokul Anandaraman, Andrea Lockerd Thomaz:
TASC: Teammate Algorithm for Shared Cooperation. IROS 2020: 11229-11236 - [c21]Mai Lee Chang, Zachary Pope, Elaine Schaertl Short, Andrea Lockerd Thomaz:
Defining Fairness in Human-Robot Teams. RO-MAN 2020: 1251-1258 - [c20]Adam Allevato, Elaine Short, Mitch Pryor, Andrea Thomaz:
Learning Labeled Robot Affordance Models Using Simulations and Crowdsourcing. Robotics: Science and Systems 2020 - [i6]Akanksha Saran, Ruohan Zhang, Elaine Schaertl Short, Scott Niekum:
Efficiently Guiding Imitation Learning Algorithms with Human Gaze. CoRR abs/2002.12500 (2020) - [i5]Andre Cleaver, Muhammad Faizan, Hassan Amel, Elaine Short, Jivko Sinapov:
SENSAR: A Visual Tool for Intelligent Robots for Collaborative Human-Robot Interaction. CoRR abs/2011.04515 (2020) - [i4]Elaine Schaertl Short, Dale Short, Yifeng Fu, Maja J. Mataric:
SPRITE: Stewart Platform Robot for Interactive Tabletop Engagement. CoRR abs/2011.05786 (2020)
2010 – 2019
- 2019
- [c19]Taylor Kessler Faulkner, Reymundo A. Gutierrez, Elaine Schaertl Short, Guy Hoffman, Andrea Lockerd Thomaz:
Active Attention-Modified Policy Shaping: Socially Interactive Agents Track. AAMAS 2019: 728-736 - [c18]Tesca Fitzgerald, Elaine Short, Ashok K. Goel, Andrea Thomaz:
Human-guided Trajectory Adaptation for Tool Transfer. AAMAS 2019: 1350-1358 - [c17]Adam Allevato, Elaine Schaertl Short, Mitch Pryor, Andrea Thomaz:
TuneNet: One-Shot Residual Tuning for System Identification and Sim-to-Real Robot Task Transfer. CoRL 2019: 445-455 - [c16]Akanksha Saran, Elaine Schaertl Short, Andrea Thomaz, Scott Niekum:
Understanding Teacher Gaze Patterns for Robot Learning. CoRL 2019: 1247-1258 - [c15]Elaine Schaertl Short, Adam Allevato, Andrea Lockerd Thomaz:
SAIL: Simulation-Informed Active In-the-Wild Learning. HRI 2019: 468-477 - [c14]Reymundo A. Gutierrez, Elaine Schaertl Short, Scott Niekum, Andrea Lockerd Thomaz:
Learning from Corrective Demonstrations. HRI 2019: 712-714 - [c13]Akanksha Saran, Elaine Schaertl Short, Andrea Thomaz, Scott Niekum:
Enhancing Robot Learning with Human Social Cues. HRI 2019: 745-747 - [i3]Akanksha Saran, Elaine Schaertl Short, Andrea Thomaz, Scott Niekum:
Understanding Teacher Gaze Patterns for Robot Learning. CoRR abs/1907.07202 (2019) - [i2]Adam Allevato, Elaine Schaertl Short, Mitch Pryor, Andrea Lockerd Thomaz:
TuneNet: One-Shot Residual Tuning for System Identification and Sim-to-Real Robot Task Transfer. CoRR abs/1907.11200 (2019) - 2018
- [c12]Elaine Schaertl Short, Mai Lee Chang, Andrea Thomaz:
Detecting Contingency for HRI in Open-World Environments. HRI 2018: 425-433 - [c11]Taylor Kessler Faulkner, Elaine Schaertl Short, Andrea Lockerd Thomaz:
Policy Shaping with Supervisory Attention Driven Exploration. IROS 2018: 842-847 - [c10]Mai Lee Chang, Reymundo A. Gutierrez, Priyanka Khante, Elaine Schaertl Short, Andrea Lockerd Thomaz:
Effects of Integrated Intent Recognition and Communication on Human-Robot Collaboration. IROS 2018: 3381-3386 - [c9]Akanksha Saran, Srinjoy Majumdar, Elaine Schaertl Short, Andrea Thomaz, Scott Niekum:
Human Gaze Following for Human-Robot Interaction. IROS 2018: 8615-8621 - [i1]Reymundo A. Gutierrez, Elaine Schaertl Short, Scott Niekum, Andrea Lockerd Thomaz:
Towards Online Learning from Corrective Demonstrations. CoRR abs/1810.01036 (2018) - 2017
- [j1]Elaine Schaertl Short, Eric Deng, David Feil-Seifer, Maja J. Mataric:
Understanding agency in interactions between children with autism and socially assistive robots. J. Hum. Robot Interact. 6(3): 21-47 (2017) - [c8]Elaine Schaertl Short, Katelyn Swift-Spong, Hyunju Shim, Kristi M. Wisniewski, Deanah Kim Zak, Shinyi Wu, Elizabeth M. Zelinski, Maja J. Mataric:
Understanding social interactions with socially assistive robotics in intergenerational family groups. RO-MAN 2017: 236-241 - [c7]Elaine Short, Maja J. Mataric:
Robot moderation of a collaborative game: Towards socially assistive robotics in group interactions. RO-MAN 2017: 385-390 - 2015
- [c6]Elaine Short, Maja J. Mataric:
Towards Robot Moderators: Understanding Goal-Directed Multi-Party Interactions. AAAI Fall Symposia 2015: 122-124 - 2014
- [c5]Jillian Greczek, Elaine Short, Caitlyn E. Clabaugh, Katelyn Swift-Spong, Maja J. Mataric:
Socially Assistive Robotics for Personalized Education for Children. AAAI Fall Symposia 2014 - [c4]Elaine Short, Katelyn Swift-Spong, Jillian Greczek, Aditi Ramachandran, Alexandru Litoiu, Elena Corina Grigore, David Feil-Seifer, Samuel Shuster, Jin Joo Lee, Shaobo Huang, Svetlana Levonisova, Sarah Litz, Jamy Li, Gisele Ragusa, Donna Spruijt-Metz, Maja J. Mataric, Brian Scassellati:
How to train your DragonBot: Socially assistive robots for teaching children about nutrition through play. RO-MAN 2014: 924-929 - 2011
- [c3]Elaine Short, David Feil-Seifer, Maja J. Mataric:
A comparison of machine learning techniques for modeling human-robot interaction with children with autism. HRI 2011: 251-252 - 2010
- [c2]Elaine Short, Justin W. Hart, Michelle Vu, Brian Scassellati:
No fair!!: an interaction with a cheating robot. HRI 2010: 219-226
2000 – 2009
- 2009
- [c1]Johannes Käst, Jochen Neuhaus, Felix Nickel, Hannes Kenngott, Markus Engel, Elaine Short, Michael Reiter, Hans-Peter Meinzer, Lena Maier-Hein:
Der Telemanipulator daVinci als mechanisches Trackingsystem. Bildverarbeitung für die Medizin 2009: 92-96
Coauthor Index
aka: Andrea Lockerd Thomaz
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last updated on 2024-11-13 23:50 CET by the dblp team
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