57 citations · 137 across the 14 of their papers we have counts for
14 papers · 1 filter
Where were my keys? -- Aggregating Spatial-Temporal Instances of Objects for Efficient Retrieval over Long Periods of Time
Ifrah Idrees, Zahid Hasan, Steven P. Reiss +1
Robots equipped with situational awareness can help humans efficiently find their lost objects by leveraging spatial and temporal structure. Existing approaches to video and image…
Value-Based Reinforcement Learning for Continuous Control Robotic Manipulation in Multi-Task Sparse Reward Settings
Sreehari Rammohan, Shangqun Yu, Bowen He +4
Learning continuous control in high-dimensional sparse reward settings, such as robotic manipulation, is a challenging problem due to the number of samples often required to obtain…
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…
Learning to Detect Multi-Modal Grasps for Dexterous Grasping in Dense Clutter
Matt Corsaro, Stefanie Tellex, George Konidaris
We propose an approach to multi-modal grasp detection that jointly predicts the probabilities that several types of grasps succeed at a given grasp pose. Given a partial point clou…
Bootstrapping Motor Skill Learning with Motion Planning
Ben Abbatematteo, Eric Rosen, Stefanie Tellex +1
Learning a robot motor skill from scratch is impractically slow; so much so that in practice, learning must be bootstrapped using a good skill policy obtained from human demonstrat…
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…