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Nick Walker

7 accepted papers

2026

Robots That Know What to Ask: Recovering Misaligned Rewards through Targeted Explanations

RSS 2026poster

Learning reward functions from demonstrations assumes that demonstrations provide adequate supervision over all features—or task-relevant aspects of behavior. In practice, demonstrations are often imperfect: humans may under-emphasize certain features due to cognitive load or physical difficulty, or…

Cited by 0SourceScholar
2024

Fast Explicit-Input Assistance for Teleoperation in Clutter

IROS 2024poster

The performance of prediction-based assistance for robot teleoperation degrades in unseen or goal-rich environments due to incorrect or quickly-changing intent inferences. Poor predictions can confuse operators or cause them to change their control input to implicitly signal their goal. We present a…

Cited by 1SourcecodeScholar
2024

I Can Tell What I am Doing: Toward Real-World Natural Language Grounding of Robot Experiences

CoRL 2024poster

Understanding robot behaviors and experiences through natural language is crucial for developing intelligent and transparent robotic systems. Recent advancement in large language models (LLMs) makes it possible to translate complex, multi-modal robotic experiences into coherent, human-readable narra…

Cited by 4SourceScholar
2021

Influencing Behavioral Attributions to Robot Motion During Task Execution

CoRL 2021poster

While prior work has shown how to autonomously generate motion that communicates task-related attributes, like intent or capability, we know less about how to automatically generate motion that communicates higher-level behavioral attributes such as curiosity or competence. We propose a framework th…

Cited by 13SourceScholar
2021

Learning Backchanneling Behaviors for a Social Robot via Data Augmentation from Human-Human Conversations

CoRL 2021poster

Backchanneling behaviors on a robot, such as nodding, can make talking to a robot feel more natural and engaging by giving a sense that the robot is actively listening. For backchanneling to be effective, it is important that the timing of such cues is appropriate given the humans' conversational be…

Cited by 30SourceScholar
2019

Improving Grounded Natural Language Understanding through Human-Robot Dialog

ICRA 2019poster

Natural language understanding for robotics can require substantial domain- and platform-specific engineering. For example, for mobile robots to pick-and-place objects in an environment to satisfy human commands, we can specify the language humans use to issue such commands, and connect concept word…

Cited by 85SourcecodeScholar
2018

PRISM: Pose Registration for Integrated Semantic Mapping

IROS 2018poster

Many robotics applications involve navigating to positions specified in terms of their semantic significance. A robot operating in a hotel may need to deliver room service to a named room. In a hospital, it may need to deliver medication to a patient's room. The Building-Wide Intelligence Project at…

Cited by 14SourceScholar