PACE: Physics Augmentation for Coordinated End-to-end Reinforcement Learning toward Versatile Humanoid Table Tennis

by Dizhi Ma | Mar 21, 2026 | 2026, Dizhi Ma, Karthik Ramani

Humanoid table tennis (TT) demands rapid perception, proactive whole-body motion, and agile footwork under strict timing—capabilities that remain difficult for end-to-end control policies. We propose a reinforcement learning (RL) framework that maps ball-position...

Egocentric Hand Activity Video Dataset and Bidirectional Motion-Priors for Hand Action Recognition

by Karthik Ramani | Jan 12, 2026 | 2026, Karthik Ramani

Recognizing tool-based hand activities from a first-person view is a critical yet challenging task in computer vision, due to the complexity of hand-object interactions and often subtle, ambiguous motion patterns. In real-world manufacturing scenarios, these...

ConceptVis: Exploring and Visualizing Design Concepts With Large Language Models Using Interactive Knowledge Graph

by Runlin Duan | Jan 1, 2026 | 2026, Jingyu Shi, Karthik Ramani, Rahul Jain, Runlin Duan, Yuzhao Chen

Large language models (LLMs) are capable of generating cross-domain design knowledge, opening up new possibilities for creating a myriad of design concepts for early-stage design ideation. However, the current chat-based interface fails to represent the complexity of...

PowVRtool: a handheld haptic device for realistic power tool feedback in VR-based manufacturing training

by Mayank Patel | Dec 8, 2025 | 2025, Ananya Ipsita, Asim Unmesh, Jingyu Shi, Karthik Ramani, Mayank Patel, Rahul Jain

In VR-based manufacturing training employing Oculus controllers for power tool operation, users consistently encounter a glaring impediment: the conspicuous absence of haptic feedback. This critical shortfall significantly hinders the seamless transfer of acquired...

Extended Reality in Industry and Healthcare: Current Trends and Future Perspectives

by Karthik Ramani | Dec 1, 2025 | 2025, Karthik Ramani

Extended reality (XR) technologies are no longer peripheral innovations but emerging cornerstones of human–technology interaction across critical sectors. This article takes the position that engineering and healthcare represent the most mature and strategically...

Occlusion-Aware Temporally Consistent Amodal Completion for 3D Human-Object Interaction Reconstruction

by Hyungjun Doh | Oct 27, 2025 | 2025, Hyungjun Doh, Karthik Ramani, Sangpil Kim, Seunggeun Chi

We introduce a novel framework for reconstructing dynamic human-object interactions from monocular video that overcomes challenges associated with occlusions and temporal inconsistencies. Traditional 3D reconstruction methods typically assume static objects or full...