113 citations · 319 across the 38 of their papers we have counts for
7 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…
Towards Optimal Correlational Object Search
Kaiyu Zheng, Rohan Chitnis, Yoonchang Sung +2
In realistic applications of object search, robots will need to locate target objects in complex environments while coping with unreliable sensors, especially for small or hard-to-…
Generalizing to New Domains by Mapping Natural Language to Lifted LTL
Eric Hsiung, Hiloni Mehta, Junchi Chu +4
Recent work on using natural language to specify commands to robots has grounded that language to LTL. However, mapping natural language task specifications to LTL task specificati…
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…