Papers
12
Total Citations
963
H-Index
9
About
Lorenzo Riano is a pioneering researcher in robotics whose work bridges the gap between high-level task planning and natural human-robot interaction. His primary research areas include combined task and motion planning, human-robot interaction through spatial language grounding, and haptic learning. Riano's most impactful contribution is his 2014 paper on combined task and motion planning (474 citations), which introduced an extensible, planner-independent interface layer that allows off-the-shelf task planners to work seamlessly with motion planning algorithms—a breakthrough that eliminated the need for specialized integrated systems. He also made significant strides in grounding spatial relations for human-robot interaction (146 citations), enabling robots to understand spatial prepositions and execute commands based on visual percepts. Riano's work on haptic adjectives (145 and 107 citations) is particularly notable, as he developed methods for robots to learn the meaning of tactile descriptors through physical interaction, advancing the field of robotic language acquisition. His research has been applied to the PR2 robot and has implications for telepresence and autonomous navigation, demonstrating his commitment to creating robots that can communicate naturally with humans.
Research Focus
Key Achievements
Top Papers
- 1
- 2Grounding spatial relations for human-robot interaction146 citations · 2013
- 3Robotic learning of haptic adjectives through physical interaction145 citations · 2014
- 4Using robotic exploratory procedures to learn the meaning of haptic adjectives107 citations · 2013
- 5Using Classical Planners for Tasks with Continuous Operators in Robotics26 citations · 2013
- 6
- 7A Study of Enhanced Robot Autonomy in Telepresence16 citations · 2011
- 8Automatic place detection and localization in autonomous robotics14 citations · 2007
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- 10